Plot the first timestep:
\n\n \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -151,15 +151,15 @@\n File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in\n HTTPConnection._new_conn(self)\n 204 except socket.gaierror as e:\n --> 205 raise NameResolutionError(self.host, self, e) from e\n 206 except SocketTimeout as e:\n \n NameResolutionError: : Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff3c414d70>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\n \n The above exception was the direct cause of the following exception:\n \n MaxRetryError Traceback (most recent call last)\n File /usr/lib/python3/dist-packages/requests/adapters.py:667, in\n HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)\n@@ -195,15 +195,15 @@\n --> 519 raise MaxRetryError(_pool, url, reason) from reason # type: ignore\n [arg-type]\n 521 log.debug(\"Incremented Retry for (url='%s'): %r\", url, new_retry)\n \n MaxRetryError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff3c414d70>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n \n During handling of the above exception, another exception occurred:\n \n ConnectionError Traceback (most recent call last)\n Cell In[2], line 1\n ----> 1 ds = xr.tutorial.load_dataset(\"air_temperature\")\n@@ -314,15 +314,15 @@\n --> 700 raise ConnectionError(e, request=request)\n 702 except ClosedPoolError as e:\n 703 raise ConnectionError(e, request=request)\n \n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff3c414d70>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n Plot the first timestep:\n [3]:\n projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\n \n f, ax = plt.subplots(subplot_kw=dict(projection=projection))\n \n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.ipynb.gz", "source2": "./usr/share/doc/python-xarray-doc/html/examples/area_weighted_temperature.ipynb.gz", "unified_diff": null, "details": [{"source1": "area_weighted_temperature.ipynb", "source2": "area_weighted_temperature.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9990895206766918%", "Differences: {\"'cells'\": \"{2: {'metadata': {'execution': {'iopub.execute_input': '2026-07-01T07:45:41.094067Z', \"", " \"'iopub.status.busy': '2026-07-01T07:45:41.093791Z', 'iopub.status.idle': \"", " \"'2026-07-01T07:45:43.905241Z', 'shell.execute_reply': \"", " \"'2026-07-01T07:45:43.889770Z'}}}, 4: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2026-07-01T07:45:43.916014Z', 'iopub.status.busy': \"", " \"'2026-07-01T07:45:43.915616Z', 'iopub.status.idle': '2026-07-01T07:45:4 [\u2026]"], "unified_diff": "@@ -28,18 +28,18 @@\n \"execution_count\": 1,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:43:57.222351Z\",\n \"start_time\": \"2020-03-17T14:43:56.147541Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:16.386351Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:16.385292Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:17.345560Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:17.344645Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:41.094067Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:41.093791Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:43.905241Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:43.889770Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"%matplotlib inline\\n\",\n \"\\n\",\n \"import cartopy.crs as ccrs\\n\",\n@@ -63,24 +63,24 @@\n \"execution_count\": 2,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:43:57.831734Z\",\n \"start_time\": \"2020-03-17T14:43:57.651845Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:17.349689Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:17.349242Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:17.980238Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:17.978853Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:43.916014Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:43.915616Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:45.214701Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:45.213827Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"ConnectionError\",\n- \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"output_type\": \"error\",\n \"traceback\": [\n \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n \"\\u001b[0;31mgaierror\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:198\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 197\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 198\\u001b[0m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconnection\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mcreate_connection\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 199\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_dns_host\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mport\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 200\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 201\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msource_address\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msource_address\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 202\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msocket_options\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msocket_options\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 203\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/connection.py:60\\u001b[0m, in \\u001b[0;36mcreate_connection\\u001b[0;34m(address, timeout, source_address, socket_options)\\u001b[0m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m LocationParseError(\\u001b[38;5;124mf\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m{\\u001b[39;00mhost\\u001b[38;5;132;01m}\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m, label empty or too long\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m\\n\\u001b[0;32m---> 60\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mSOCK_STREAM\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 61\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n \"File \\u001b[0;32m/usr/lib/python3.13/socket.py:977\\u001b[0m, in \\u001b[0;36mgetaddrinfo\\u001b[0;34m(host, port, family, type, proto, flags)\\u001b[0m\\n\\u001b[1;32m 976\\u001b[0m addrlist \\u001b[38;5;241m=\\u001b[39m []\\n\\u001b[0;32m--> 977\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43m_socket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mtype\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mproto\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mflags\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 978\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n@@ -89,35 +89,35 @@\n \"\\u001b[0;31mNameResolutionError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:787\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 786\\u001b[0m \\u001b[38;5;66;03m# Make the request on the HTTPConnection object\\u001b[39;00m\\n\\u001b[0;32m--> 787\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_make_request\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 788\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 789\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 790\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 791\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout_obj\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 792\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 793\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 794\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 795\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mretries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 796\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 797\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mpreload_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 798\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdecode_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 799\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mresponse_kw\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 800\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 802\\u001b[0m \\u001b[38;5;66;03m# Everything went great!\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:488\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 487\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m _wrap_proxy_error(new_e, conn\\u001b[38;5;241m.\\u001b[39mproxy\\u001b[38;5;241m.\\u001b[39mscheme)\\n\\u001b[0;32m--> 488\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m new_e\\n\\u001b[1;32m 490\\u001b[0m \\u001b[38;5;66;03m# conn.request() calls http.client.*.request, not the method in\\u001b[39;00m\\n\\u001b[1;32m 491\\u001b[0m \\u001b[38;5;66;03m# urllib3.request. It also calls makefile (recv) on the socket.\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:464\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 463\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 464\\u001b[0m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_validate_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 465\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (SocketTimeout, BaseSSLError) \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:1093\\u001b[0m, in \\u001b[0;36mHTTPSConnectionPool._validate_conn\\u001b[0;34m(self, conn)\\u001b[0m\\n\\u001b[1;32m 1092\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m conn\\u001b[38;5;241m.\\u001b[39mis_closed:\\n\\u001b[0;32m-> 1093\\u001b[0m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mconnect\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 1095\\u001b[0m \\u001b[38;5;66;03m# TODO revise this, see https://github.com/urllib3/urllib3/issues/2791\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:704\\u001b[0m, in \\u001b[0;36mHTTPSConnection.connect\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 703\\u001b[0m sock: socket\\u001b[38;5;241m.\\u001b[39msocket \\u001b[38;5;241m|\\u001b[39m ssl\\u001b[38;5;241m.\\u001b[39mSSLSocket\\n\\u001b[0;32m--> 704\\u001b[0m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39msock \\u001b[38;5;241m=\\u001b[39m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_new_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m server_hostname: \\u001b[38;5;28mstr\\u001b[39m \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:205\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[0;32m--> 205\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m NameResolutionError(\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost, \\u001b[38;5;28mself\\u001b[39m, e) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01me\\u001b[39;00m\\n\\u001b[1;32m 206\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m SocketTimeout \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n- \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n+ \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n \"\\nThe above exception was the direct cause of the following exception:\\n\",\n \"\\u001b[0;31mMaxRetryError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:667\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 666\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 667\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43murlopen\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 668\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 669\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 670\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 671\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 672\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mredirect\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 673\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43massert_same_host\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 674\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 675\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 676\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmax_retries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 677\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 678\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 679\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 681\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (ProtocolError, \\u001b[38;5;167;01mOSError\\u001b[39;00m) \\u001b[38;5;28;01mas\\u001b[39;00m err:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:841\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 839\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m ProtocolError(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mConnection aborted.\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m, new_e)\\n\\u001b[0;32m--> 841\\u001b[0m retries \\u001b[38;5;241m=\\u001b[39m \\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mincrement\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 842\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43merror\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mnew_e\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_pool\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_stacktrace\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43msys\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mexc_info\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m]\\u001b[49m\\n\\u001b[1;32m 843\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 844\\u001b[0m retries\\u001b[38;5;241m.\\u001b[39msleep()\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py:519\\u001b[0m, in \\u001b[0;36mRetry.increment\\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\\u001b[0m\\n\\u001b[1;32m 518\\u001b[0m reason \\u001b[38;5;241m=\\u001b[39m error \\u001b[38;5;129;01mor\\u001b[39;00m ResponseError(cause)\\n\\u001b[0;32m--> 519\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m MaxRetryError(_pool, url, reason) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01mreason\\u001b[39;00m \\u001b[38;5;66;03m# type: ignore[arg-type]\\u001b[39;00m\\n\\u001b[1;32m 521\\u001b[0m log\\u001b[38;5;241m.\\u001b[39mdebug(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mIncremented Retry for (url=\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m): \\u001b[39m\\u001b[38;5;132;01m%r\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m, url, new_retry)\\n\",\n- \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"\\nDuring handling of the above exception, another exception occurred:\\n\",\n \"\\u001b[0;31mConnectionError\\u001b[0m Traceback (most recent call last)\",\n \"Cell \\u001b[0;32mIn[2], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m \\u001b[43mxr\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtutorial\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mload_dataset\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mair_temperature\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 3\\u001b[0m \\u001b[38;5;66;03m# to celsius\\u001b[39;00m\\n\\u001b[1;32m 4\\u001b[0m air \\u001b[38;5;241m=\\u001b[39m ds\\u001b[38;5;241m.\\u001b[39mair \\u001b[38;5;241m-\\u001b[39m \\u001b[38;5;241m273.15\\u001b[39m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/xarray/tutorial.py:215\\u001b[0m, in \\u001b[0;36mload_dataset\\u001b[0;34m(*args, **kwargs)\\u001b[0m\\n\\u001b[1;32m 178\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mload_dataset\\u001b[39m(\\u001b[38;5;241m*\\u001b[39margs, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkwargs) \\u001b[38;5;241m-\\u001b[39m\\u001b[38;5;241m>\\u001b[39m Dataset:\\n\\u001b[1;32m 179\\u001b[0m \\u001b[38;5;250m \\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[1;32m 180\\u001b[0m \\u001b[38;5;124;03m Open, load into memory, and close a dataset from the online repository\\u001b[39;00m\\n\\u001b[1;32m 181\\u001b[0m \\u001b[38;5;124;03m (requires internet).\\u001b[39;00m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 213\\u001b[0m \\u001b[38;5;124;03m load_dataset\\u001b[39;00m\\n\\u001b[1;32m 214\\u001b[0m \\u001b[38;5;124;03m \\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[0;32m--> 215\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m \\u001b[43mopen_dataset\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43margs\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m \\u001b[38;5;28;01mas\\u001b[39;00m ds:\\n\\u001b[1;32m 216\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m ds\\u001b[38;5;241m.\\u001b[39mload()\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/xarray/tutorial.py:167\\u001b[0m, in \\u001b[0;36mopen_dataset\\u001b[0;34m(name, cache, cache_dir, engine, **kws)\\u001b[0m\\n\\u001b[1;32m 164\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m pooch\\u001b[38;5;241m.\\u001b[39mHTTPDownloader(headers\\u001b[38;5;241m=\\u001b[39mheaders)\\n\\u001b[1;32m 166\\u001b[0m \\u001b[38;5;66;03m# retrieve the file\\u001b[39;00m\\n\\u001b[0;32m--> 167\\u001b[0m filepath \\u001b[38;5;241m=\\u001b[39m \\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mretrieve\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 168\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpath\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mcache_dir\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdownloader\\u001b[49m\\n\\u001b[1;32m 169\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 170\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m _open_dataset(filepath, engine\\u001b[38;5;241m=\\u001b[39mengine, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkws)\\n\\u001b[1;32m 171\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;129;01mnot\\u001b[39;00m cache:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:239\\u001b[0m, in \\u001b[0;36mretrieve\\u001b[0;34m(url, known_hash, fname, path, processor, downloader, progressbar)\\u001b[0m\\n\\u001b[1;32m 236\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m downloader \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 237\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m choose_downloader(url, progressbar\\u001b[38;5;241m=\\u001b[39mprogressbar)\\n\\u001b[0;32m--> 239\\u001b[0m \\u001b[43mstream_download\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfull_path\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 241\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m known_hash \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 242\\u001b[0m get_logger()\\u001b[38;5;241m.\\u001b[39minfo(\\n\\u001b[1;32m 243\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mSHA256 hash of downloaded file: \\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;130;01m\\\\n\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[1;32m 244\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mUse this value as the \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mknown_hash\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m argument of \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mpooch.retrieve\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 247\\u001b[0m file_hash(\\u001b[38;5;28mstr\\u001b[39m(full_path)),\\n\\u001b[1;32m 248\\u001b[0m )\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:807\\u001b[0m, in \\u001b[0;36mstream_download\\u001b[0;34m(url, fname, known_hash, downloader, pooch, retry_if_failed)\\u001b[0m\\n\\u001b[1;32m 803\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[1;32m 804\\u001b[0m \\u001b[38;5;66;03m# Stream the file to a temporary so that we can safely check its\\u001b[39;00m\\n\\u001b[1;32m 805\\u001b[0m \\u001b[38;5;66;03m# hash before overwriting the original.\\u001b[39;00m\\n\\u001b[1;32m 806\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m temporary_file(path\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mparent)) \\u001b[38;5;28;01mas\\u001b[39;00m tmp:\\n\\u001b[0;32m--> 807\\u001b[0m \\u001b[43mdownloader\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtmp\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 808\\u001b[0m hash_matches(tmp, known_hash, strict\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mTrue\\u001b[39;00m, source\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mname))\\n\\u001b[1;32m 809\\u001b[0m shutil\\u001b[38;5;241m.\\u001b[39mmove(tmp, \\u001b[38;5;28mstr\\u001b[39m(fname))\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/downloaders.py:220\\u001b[0m, in \\u001b[0;36mHTTPDownloader.__call__\\u001b[0;34m(self, url, output_file, pooch, check_only)\\u001b[0m\\n\\u001b[1;32m 218\\u001b[0m \\u001b[38;5;66;03m# pylint: enable=consider-using-with\\u001b[39;00m\\n\\u001b[1;32m 219\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 220\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[43mrequests\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mget\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 221\\u001b[0m response\\u001b[38;5;241m.\\u001b[39mraise_for_status()\\n\\u001b[1;32m 222\\u001b[0m content \\u001b[38;5;241m=\\u001b[39m response\\u001b[38;5;241m.\\u001b[39miter_content(chunk_size\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mchunk_size)\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:73\\u001b[0m, in \\u001b[0;36mget\\u001b[0;34m(url, params, **kwargs)\\u001b[0m\\n\\u001b[1;32m 62\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mget\\u001b[39m(url, params\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mNone\\u001b[39;00m, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkwargs):\\n\\u001b[1;32m 63\\u001b[0m \\u001b[38;5;250m \\u001b[39m\\u001b[38;5;124mr\\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\"Sends a GET request.\\u001b[39;00m\\n\\u001b[1;32m 64\\u001b[0m \\n\\u001b[1;32m 65\\u001b[0m \\u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\\u001b[39;00m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 70\\u001b[0m \\u001b[38;5;124;03m :rtype: requests.Response\\u001b[39;00m\\n\\u001b[1;32m 71\\u001b[0m \\u001b[38;5;124;03m \\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[0;32m---> 73\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mget\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mparams\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mparams\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:59\\u001b[0m, in \\u001b[0;36mrequest\\u001b[0;34m(method, url, **kwargs)\\u001b[0m\\n\\u001b[1;32m 55\\u001b[0m \\u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\\u001b[39;00m\\n\\u001b[1;32m 56\\u001b[0m \\u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\\u001b[39;00m\\n\\u001b[1;32m 57\\u001b[0m \\u001b[38;5;66;03m# cases, and look like a memory leak in others.\\u001b[39;00m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m sessions\\u001b[38;5;241m.\\u001b[39mSession() \\u001b[38;5;28;01mas\\u001b[39;00m session:\\n\\u001b[0;32m---> 59\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43msession\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:589\\u001b[0m, in \\u001b[0;36mSession.request\\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\\u001b[0m\\n\\u001b[1;32m 584\\u001b[0m send_kwargs \\u001b[38;5;241m=\\u001b[39m {\\n\\u001b[1;32m 585\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mtimeout\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: timeout,\\n\\u001b[1;32m 586\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mallow_redirects\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: allow_redirects,\\n\\u001b[1;32m 587\\u001b[0m }\\n\\u001b[1;32m 588\\u001b[0m send_kwargs\\u001b[38;5;241m.\\u001b[39mupdate(settings)\\n\\u001b[0;32m--> 589\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mprep\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43msend_kwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 591\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m resp\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:703\\u001b[0m, in \\u001b[0;36mSession.send\\u001b[0;34m(self, request, **kwargs)\\u001b[0m\\n\\u001b[1;32m 700\\u001b[0m start \\u001b[38;5;241m=\\u001b[39m preferred_clock()\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;66;03m# Send the request\\u001b[39;00m\\n\\u001b[0;32m--> 703\\u001b[0m r \\u001b[38;5;241m=\\u001b[39m \\u001b[43madapter\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mrequest\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m \\u001b[38;5;66;03m# Total elapsed time of the request (approximately)\\u001b[39;00m\\n\\u001b[1;32m 706\\u001b[0m elapsed \\u001b[38;5;241m=\\u001b[39m preferred_clock() \\u001b[38;5;241m-\\u001b[39m start\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:700\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 696\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;28misinstance\\u001b[39m(e\\u001b[38;5;241m.\\u001b[39mreason, _SSLError):\\n\\u001b[1;32m 697\\u001b[0m \\u001b[38;5;66;03m# This branch is for urllib3 v1.22 and later.\\u001b[39;00m\\n\\u001b[1;32m 698\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m SSLError(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[0;32m--> 700\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m ClosedPoolError \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[1;32m 703\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\",\n- \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n+ \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n ]\n }\n ],\n \"source\": [\n \"ds = xr.tutorial.load_dataset(\\\"air_temperature\\\")\\n\",\n \"\\n\",\n \"# to celsius\\n\",\n@@ -141,18 +141,18 @@\n \"execution_count\": 3,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:43:59.887120Z\",\n \"start_time\": \"2020-03-17T14:43:59.582894Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:17.985887Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:17.984689Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:18.109792Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:18.108750Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:45.217682Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:45.217431Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:45.366448Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:45.365766Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'air' is not defined\",\n \"output_type\": \"error\",\n@@ -197,18 +197,18 @@\n \"execution_count\": 4,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:44:18.777092Z\",\n \"start_time\": \"2020-03-17T14:44:18.736587Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:18.114252Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:18.113423Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:18.137026Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:18.135832Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:45.369375Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:45.369122Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:45.398413Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:45.397756Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'air' is not defined\",\n \"output_type\": \"error\",\n@@ -238,18 +238,18 @@\n \"execution_count\": 5,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:44:52.607120Z\",\n \"start_time\": \"2020-03-17T14:44:52.564674Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:18.141254Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:18.140847Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:18.164446Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:18.163391Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:45.401160Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:45.400924Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:45.429179Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:45.427494Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'air' is not defined\",\n \"output_type\": \"error\",\n@@ -271,18 +271,18 @@\n \"execution_count\": 6,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:44:54.334279Z\",\n \"start_time\": \"2020-03-17T14:44:54.280022Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:18.168707Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:18.168304Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:18.191267Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:18.190188Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:45.431931Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:45.431695Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:45.447552Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:45.446984Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'air_weighted' is not defined\",\n \"output_type\": \"error\",\n@@ -313,18 +313,18 @@\n \"execution_count\": 7,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-03-17T14:45:08.877307Z\",\n \"start_time\": \"2020-03-17T14:45:08.673383Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:18.195550Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:18.195157Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:18.218017Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:18.216917Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:45.450281Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:45.450039Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:45.467484Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:45.466972Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'weighted_mean' is not defined\",\n \"output_type\": \"error\",\n"}]}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/blank_template.html", "source2": "./usr/share/doc/python-xarray-doc/html/examples/blank_template.html", "has_internal_linenos": true, "unified_diff": "@@ -2155,16 +2155,16 @@\n 000086a0: 3029 223e 6173 3c2f 7370 616e 3e20 653a 0)\">as e:\n 000086b0: 0a0a 3c73 7061 6e20 636c 6173 733d 2261 ..Name\n 000086d0: 5265 736f 6c75 7469 6f6e 4572 726f 723c ResolutionError<\n 000086e0: 2f73 7061 6e3e 3a20 266c 743b 7572 6c6c /span>: <urll\n 000086f0: 6962 332e 636f 6e6e 6563 7469 6f6e 2e48 ib3.connection.H\n 00008700: 5454 5053 436f 6e6e 6563 7469 6f6e 206f TTPSConnection o\n-00008710: 626a 6563 7420 6174 2030 7866 6666 6634 bject at 0xffff4\n-00008720: 3536 6432 6135 3026 6774 3b3a 2046 6169 56d2a50>: Fai\n+00008710: 626a 6563 7420 6174 2030 7866 6666 6636 bject at 0xffff6\n+00008720: 3331 6532 6135 3026 6774 3b3a 2046 6169 31e2a50>: Fai\n 00008730: 6c65 6420 746f 2072 6573 6f6c 7665 2026 led to resolve &\n 00008740: 2333 393b 6769 7468 7562 2e63 6f6d 2623 #39;github.com&#\n 00008750: 3339 3b20 285b 4572 726e 6f20 2d33 5d20 39; ([Errno -3] \n 00008760: 5465 6d70 6f72 6172 7920 6661 696c 7572 Temporary failur\n 00008770: 6520 696e 206e 616d 6520 7265 736f 6c75 e in name resolu\n 00008780: 7469 6f6e 290a 0a54 6865 2061 626f 7665 tion)..The above\n 00008790: 2065 7863 6570 7469 6f6e 2077 6173 2074 exception was t\n@@ -2737,15 +2737,15 @@\n 0000ab00: 7374 6572 2f61 6972 5f74 656d 7065 7261 ster/air_tempera\n 0000ab10: 7475 7265 2e6e 6320 2843 6175 7365 6420 ture.nc (Caused \n 0000ab20: 6279 204e 616d 6552 6573 6f6c 7574 696f by NameResolutio\n 0000ab30: 6e45 7272 6f72 2826 2333 343b 266c 743b nError("<\n 0000ab40: 7572 6c6c 6962 332e 636f 6e6e 6563 7469 urllib3.connecti\n 0000ab50: 6f6e 2e48 5454 5053 436f 6e6e 6563 7469 on.HTTPSConnecti\n 0000ab60: 6f6e 206f 626a 6563 7420 6174 2030 7866 on object at 0xf\n-0000ab70: 6666 6634 3536 6432 6135 3026 6774 3b3a fff456d2a50>:\n+0000ab70: 6666 6636 3331 6532 6135 3026 6774 3b3a fff631e2a50>:\n 0000ab80: 2046 6169 6c65 6420 746f 2072 6573 6f6c Failed to resol\n 0000ab90: 7665 2026 2333 393b 6769 7468 7562 2e63 ve 'github.c\n 0000aba0: 6f6d 2623 3339 3b20 285b 4572 726e 6f20 om' ([Errno \n 0000abb0: 2d33 5d20 5465 6d70 6f72 6172 7920 6661 -3] Temporary fa\n 0000abc0: 696c 7572 6520 696e 206e 616d 6520 7265 ilure in name re\n 0000abd0: 736f 6c75 7469 6f6e 2926 2333 343b 2929 solution)"))\n 0000abe0: 0a0a 4475 7269 6e67 2068 616e 646c 696e ..During handlin\n@@ -4164,15 +4164,15 @@\n 00010430: 7461 2f72 6177 2f6d 6173 7465 722f 6169 ta/raw/master/ai\n 00010440: 725f 7465 6d70 6572 6174 7572 652e 6e63 r_temperature.nc\n 00010450: 2028 4361 7573 6564 2062 7920 4e61 6d65 (Caused by Name\n 00010460: 5265 736f 6c75 7469 6f6e 4572 726f 7228 ResolutionError(\n 00010470: 2623 3334 3b26 6c74 3b75 726c 6c69 6233 "<urllib3\n 00010480: 2e63 6f6e 6e65 6374 696f 6e2e 4854 5450 .connection.HTTP\n 00010490: 5343 6f6e 6e65 6374 696f 6e20 6f62 6a65 SConnection obje\n-000104a0: 6374 2061 7420 3078 6666 6666 3435 3664 ct at 0xffff456d\n+000104a0: 6374 2061 7420 3078 6666 6666 3633 3165 ct at 0xffff631e\n 000104b0: 3261 3530 2667 743b 3a20 4661 696c 6564 2a50>: Failed\n 000104c0: 2074 6f20 7265 736f 6c76 6520 2623 3339 to resolve '\n 000104d0: 3b67 6974 6875 622e 636f 6d26 2333 393b ;github.com'\n 000104e0: 2028 5b45 7272 6e6f 202d 335d 2054 656d ([Errno -3] Tem\n 000104f0: 706f 7261 7279 2066 6169 6c75 7265 2069 porary failure i\n 00010500: 6e20 6e61 6d65 2072 6573 6f6c 7574 696f n name resolutio\n 00010510: 6e29 2623 3334 3b29 290a 3c2f 7072 653e n)")).\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -128,15 +128,15 @@\n File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in\n HTTPConnection._new_conn(self)\n 204 except socket.gaierror as e:\n --> 205 raise NameResolutionError(self.host, self, e) from e\n 206 except SocketTimeout as e:\n \n NameResolutionError: : Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff631e2a50>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\n \n The above exception was the direct cause of the following exception:\n \n MaxRetryError Traceback (most recent call last)\n File /usr/lib/python3/dist-packages/requests/adapters.py:667, in\n HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)\n@@ -172,15 +172,15 @@\n --> 519 raise MaxRetryError(_pool, url, reason) from reason # type: ignore\n [arg-type]\n 521 log.debug(\"Incremented Retry for (url='%s'): %r\", url, new_retry)\n \n MaxRetryError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff631e2a50>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n \n During handling of the above exception, another exception occurred:\n \n ConnectionError Traceback (most recent call last)\n Cell In[1], line 5\n 2 import numpy as np\n@@ -292,15 +292,15 @@\n --> 700 raise ConnectionError(e, request=request)\n 702 except ClosedPoolError as e:\n 703 raise ConnectionError(e, request=request)\n \n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff631e2a50>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n [ ]:\n _\bp_\br_\be_\bv_\bi_\bo_\bu_\bs\n _\bA_\bp_\bp_\bl_\by_\bi_\bn_\bg_\b _\bu_\bn_\bv_\be_\bc_\bt_\bo_\br_\bi_\bz_\be_\bd_\b _\bf_\bu_\bn_\bc_\bt_\bi_\bo_\bn_\bs_\b _\bw_\bi_\bt_\bh_\b _\ba_\bp_\bp_\bl_\by_\b__\bu_\bf_\bu_\bn_\bc\n _\bn_\be_\bx_\bt\n _\bA_\bP_\bI_\b _\br_\be_\bf_\be_\br_\be_\bn_\bc_\be\n _\bE_\bd_\bi_\bt_\b _\bo_\bn_\b _\bG_\bi_\bt_\bH_\bu_\bb\n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/blank_template.ipynb.gz", "source2": "./usr/share/doc/python-xarray-doc/html/examples/blank_template.ipynb.gz", "unified_diff": null, "details": [{"source1": "blank_template.ipynb", "source2": "blank_template.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9986293859649122%", "Differences: {\"'cells'\": \"{1: {'metadata': {'execution': {'iopub.execute_input': '2026-07-01T07:45:49.650623Z', \"", " \"'iopub.status.busy': '2026-07-01T07:45:49.650361Z', 'iopub.status.idle': \"", " \"'2026-07-01T07:45:51.106696Z', 'shell.execute_reply': \"", " \"'2026-07-01T07:45:51.105766Z'}}, 'outputs': {0: {'evalue': \"", " \"'HTTPSConnectionPool(host=\\\\'github.com\\\\', port=443): Max retries exceeded with url: \"", " '/pydata/xarray-data/raw/master/air_temperature.nc (Caused by '", " [\u2026]"], "unified_diff": "@@ -12,24 +12,24 @@\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"id\": \"41b90ede\",\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:20.922093Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:20.921613Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:22.077781Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:22.076661Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:49.650623Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:49.650361Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:51.106696Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:51.105766Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"ConnectionError\",\n- \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"output_type\": \"error\",\n \"traceback\": [\n \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n \"\\u001b[0;31mgaierror\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:198\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 197\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 198\\u001b[0m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconnection\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mcreate_connection\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 199\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_dns_host\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mport\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 200\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 201\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msource_address\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msource_address\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 202\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msocket_options\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msocket_options\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 203\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/connection.py:60\\u001b[0m, in \\u001b[0;36mcreate_connection\\u001b[0;34m(address, timeout, source_address, socket_options)\\u001b[0m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m LocationParseError(\\u001b[38;5;124mf\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m{\\u001b[39;00mhost\\u001b[38;5;132;01m}\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m, label empty or too long\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m\\n\\u001b[0;32m---> 60\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mSOCK_STREAM\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 61\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n \"File \\u001b[0;32m/usr/lib/python3.13/socket.py:977\\u001b[0m, in \\u001b[0;36mgetaddrinfo\\u001b[0;34m(host, port, family, type, proto, flags)\\u001b[0m\\n\\u001b[1;32m 976\\u001b[0m addrlist \\u001b[38;5;241m=\\u001b[39m []\\n\\u001b[0;32m--> 977\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43m_socket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mtype\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mproto\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mflags\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 978\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n@@ -38,35 +38,35 @@\n \"\\u001b[0;31mNameResolutionError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:787\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 786\\u001b[0m \\u001b[38;5;66;03m# Make the request on the HTTPConnection object\\u001b[39;00m\\n\\u001b[0;32m--> 787\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_make_request\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 788\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 789\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 790\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 791\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout_obj\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 792\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 793\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 794\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 795\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mretries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 796\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 797\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mpreload_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 798\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdecode_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 799\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mresponse_kw\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 800\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 802\\u001b[0m \\u001b[38;5;66;03m# Everything went great!\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:488\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 487\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m _wrap_proxy_error(new_e, conn\\u001b[38;5;241m.\\u001b[39mproxy\\u001b[38;5;241m.\\u001b[39mscheme)\\n\\u001b[0;32m--> 488\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m new_e\\n\\u001b[1;32m 490\\u001b[0m \\u001b[38;5;66;03m# conn.request() calls http.client.*.request, not the method in\\u001b[39;00m\\n\\u001b[1;32m 491\\u001b[0m \\u001b[38;5;66;03m# urllib3.request. It also calls makefile (recv) on the socket.\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:464\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 463\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 464\\u001b[0m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_validate_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 465\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (SocketTimeout, BaseSSLError) \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:1093\\u001b[0m, in \\u001b[0;36mHTTPSConnectionPool._validate_conn\\u001b[0;34m(self, conn)\\u001b[0m\\n\\u001b[1;32m 1092\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m conn\\u001b[38;5;241m.\\u001b[39mis_closed:\\n\\u001b[0;32m-> 1093\\u001b[0m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mconnect\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 1095\\u001b[0m \\u001b[38;5;66;03m# TODO revise this, see https://github.com/urllib3/urllib3/issues/2791\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:704\\u001b[0m, in \\u001b[0;36mHTTPSConnection.connect\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 703\\u001b[0m sock: socket\\u001b[38;5;241m.\\u001b[39msocket \\u001b[38;5;241m|\\u001b[39m ssl\\u001b[38;5;241m.\\u001b[39mSSLSocket\\n\\u001b[0;32m--> 704\\u001b[0m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39msock \\u001b[38;5;241m=\\u001b[39m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_new_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m server_hostname: \\u001b[38;5;28mstr\\u001b[39m \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:205\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[0;32m--> 205\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m NameResolutionError(\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost, \\u001b[38;5;28mself\\u001b[39m, e) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01me\\u001b[39;00m\\n\\u001b[1;32m 206\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m SocketTimeout \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n- \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n+ \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n \"\\nThe above exception was the direct cause of the following exception:\\n\",\n \"\\u001b[0;31mMaxRetryError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:667\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 666\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 667\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43murlopen\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 668\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 669\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 670\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 671\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 672\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mredirect\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 673\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43massert_same_host\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 674\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 675\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 676\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmax_retries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 677\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 678\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 679\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 681\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (ProtocolError, \\u001b[38;5;167;01mOSError\\u001b[39;00m) \\u001b[38;5;28;01mas\\u001b[39;00m err:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:841\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 839\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m ProtocolError(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mConnection aborted.\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m, new_e)\\n\\u001b[0;32m--> 841\\u001b[0m retries \\u001b[38;5;241m=\\u001b[39m \\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mincrement\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 842\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43merror\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mnew_e\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_pool\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_stacktrace\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43msys\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mexc_info\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m]\\u001b[49m\\n\\u001b[1;32m 843\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 844\\u001b[0m retries\\u001b[38;5;241m.\\u001b[39msleep()\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py:519\\u001b[0m, in \\u001b[0;36mRetry.increment\\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\\u001b[0m\\n\\u001b[1;32m 518\\u001b[0m reason \\u001b[38;5;241m=\\u001b[39m error \\u001b[38;5;129;01mor\\u001b[39;00m ResponseError(cause)\\n\\u001b[0;32m--> 519\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m MaxRetryError(_pool, url, reason) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01mreason\\u001b[39;00m \\u001b[38;5;66;03m# type: ignore[arg-type]\\u001b[39;00m\\n\\u001b[1;32m 521\\u001b[0m log\\u001b[38;5;241m.\\u001b[39mdebug(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mIncremented Retry for (url=\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m): \\u001b[39m\\u001b[38;5;132;01m%r\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m, url, new_retry)\\n\",\n- \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"\\nDuring handling of the above exception, another exception occurred:\\n\",\n \"\\u001b[0;31mConnectionError\\u001b[0m Traceback (most recent call last)\",\n \"Cell \\u001b[0;32mIn[1], line 5\\u001b[0m\\n\\u001b[1;32m 2\\u001b[0m \\u001b[38;5;28;01mimport\\u001b[39;00m \\u001b[38;5;21;01mnumpy\\u001b[39;00m \\u001b[38;5;28;01mas\\u001b[39;00m \\u001b[38;5;21;01mnp\\u001b[39;00m\\n\\u001b[1;32m 3\\u001b[0m \\u001b[38;5;28;01mimport\\u001b[39;00m \\u001b[38;5;21;01mpandas\\u001b[39;00m \\u001b[38;5;28;01mas\\u001b[39;00m \\u001b[38;5;21;01mpd\\u001b[39;00m\\n\\u001b[0;32m----> 5\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m \\u001b[43mxr\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtutorial\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mload_dataset\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mair_temperature\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 6\\u001b[0m da \\u001b[38;5;241m=\\u001b[39m ds[\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mair\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m]\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/xarray/tutorial.py:215\\u001b[0m, in \\u001b[0;36mload_dataset\\u001b[0;34m(*args, **kwargs)\\u001b[0m\\n\\u001b[1;32m 178\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mload_dataset\\u001b[39m(\\u001b[38;5;241m*\\u001b[39margs, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkwargs) \\u001b[38;5;241m-\\u001b[39m\\u001b[38;5;241m>\\u001b[39m Dataset:\\n\\u001b[1;32m 179\\u001b[0m \\u001b[38;5;250m \\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[1;32m 180\\u001b[0m \\u001b[38;5;124;03m Open, load into memory, and close a dataset from the online repository\\u001b[39;00m\\n\\u001b[1;32m 181\\u001b[0m \\u001b[38;5;124;03m (requires internet).\\u001b[39;00m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 213\\u001b[0m \\u001b[38;5;124;03m load_dataset\\u001b[39;00m\\n\\u001b[1;32m 214\\u001b[0m \\u001b[38;5;124;03m \\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[0;32m--> 215\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m \\u001b[43mopen_dataset\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43margs\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m \\u001b[38;5;28;01mas\\u001b[39;00m ds:\\n\\u001b[1;32m 216\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m ds\\u001b[38;5;241m.\\u001b[39mload()\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/xarray/tutorial.py:167\\u001b[0m, in \\u001b[0;36mopen_dataset\\u001b[0;34m(name, cache, cache_dir, engine, **kws)\\u001b[0m\\n\\u001b[1;32m 164\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m pooch\\u001b[38;5;241m.\\u001b[39mHTTPDownloader(headers\\u001b[38;5;241m=\\u001b[39mheaders)\\n\\u001b[1;32m 166\\u001b[0m \\u001b[38;5;66;03m# retrieve the file\\u001b[39;00m\\n\\u001b[0;32m--> 167\\u001b[0m filepath \\u001b[38;5;241m=\\u001b[39m \\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mretrieve\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 168\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpath\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mcache_dir\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdownloader\\u001b[49m\\n\\u001b[1;32m 169\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 170\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m _open_dataset(filepath, engine\\u001b[38;5;241m=\\u001b[39mengine, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkws)\\n\\u001b[1;32m 171\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;129;01mnot\\u001b[39;00m cache:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:239\\u001b[0m, in \\u001b[0;36mretrieve\\u001b[0;34m(url, known_hash, fname, path, processor, downloader, progressbar)\\u001b[0m\\n\\u001b[1;32m 236\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m downloader \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 237\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m choose_downloader(url, progressbar\\u001b[38;5;241m=\\u001b[39mprogressbar)\\n\\u001b[0;32m--> 239\\u001b[0m \\u001b[43mstream_download\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfull_path\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 241\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m known_hash \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 242\\u001b[0m get_logger()\\u001b[38;5;241m.\\u001b[39minfo(\\n\\u001b[1;32m 243\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mSHA256 hash of downloaded file: \\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;130;01m\\\\n\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[1;32m 244\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mUse this value as the \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mknown_hash\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m argument of \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mpooch.retrieve\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 247\\u001b[0m file_hash(\\u001b[38;5;28mstr\\u001b[39m(full_path)),\\n\\u001b[1;32m 248\\u001b[0m )\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:807\\u001b[0m, in \\u001b[0;36mstream_download\\u001b[0;34m(url, fname, known_hash, downloader, pooch, retry_if_failed)\\u001b[0m\\n\\u001b[1;32m 803\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[1;32m 804\\u001b[0m \\u001b[38;5;66;03m# Stream the file to a temporary so that we can safely check its\\u001b[39;00m\\n\\u001b[1;32m 805\\u001b[0m \\u001b[38;5;66;03m# hash before overwriting the original.\\u001b[39;00m\\n\\u001b[1;32m 806\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m temporary_file(path\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mparent)) \\u001b[38;5;28;01mas\\u001b[39;00m tmp:\\n\\u001b[0;32m--> 807\\u001b[0m \\u001b[43mdownloader\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtmp\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 808\\u001b[0m hash_matches(tmp, known_hash, strict\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mTrue\\u001b[39;00m, source\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mname))\\n\\u001b[1;32m 809\\u001b[0m shutil\\u001b[38;5;241m.\\u001b[39mmove(tmp, \\u001b[38;5;28mstr\\u001b[39m(fname))\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/downloaders.py:220\\u001b[0m, in \\u001b[0;36mHTTPDownloader.__call__\\u001b[0;34m(self, url, output_file, pooch, check_only)\\u001b[0m\\n\\u001b[1;32m 218\\u001b[0m \\u001b[38;5;66;03m# pylint: enable=consider-using-with\\u001b[39;00m\\n\\u001b[1;32m 219\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 220\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[43mrequests\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mget\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 221\\u001b[0m response\\u001b[38;5;241m.\\u001b[39mraise_for_status()\\n\\u001b[1;32m 222\\u001b[0m content \\u001b[38;5;241m=\\u001b[39m response\\u001b[38;5;241m.\\u001b[39miter_content(chunk_size\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mchunk_size)\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:73\\u001b[0m, in \\u001b[0;36mget\\u001b[0;34m(url, params, **kwargs)\\u001b[0m\\n\\u001b[1;32m 62\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mget\\u001b[39m(url, params\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mNone\\u001b[39;00m, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkwargs):\\n\\u001b[1;32m 63\\u001b[0m \\u001b[38;5;250m \\u001b[39m\\u001b[38;5;124mr\\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\"Sends a GET request.\\u001b[39;00m\\n\\u001b[1;32m 64\\u001b[0m \\n\\u001b[1;32m 65\\u001b[0m \\u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\\u001b[39;00m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 70\\u001b[0m \\u001b[38;5;124;03m :rtype: requests.Response\\u001b[39;00m\\n\\u001b[1;32m 71\\u001b[0m \\u001b[38;5;124;03m \\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[0;32m---> 73\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mget\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mparams\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mparams\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:59\\u001b[0m, in \\u001b[0;36mrequest\\u001b[0;34m(method, url, **kwargs)\\u001b[0m\\n\\u001b[1;32m 55\\u001b[0m \\u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\\u001b[39;00m\\n\\u001b[1;32m 56\\u001b[0m \\u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\\u001b[39;00m\\n\\u001b[1;32m 57\\u001b[0m \\u001b[38;5;66;03m# cases, and look like a memory leak in others.\\u001b[39;00m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m sessions\\u001b[38;5;241m.\\u001b[39mSession() \\u001b[38;5;28;01mas\\u001b[39;00m session:\\n\\u001b[0;32m---> 59\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43msession\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:589\\u001b[0m, in \\u001b[0;36mSession.request\\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\\u001b[0m\\n\\u001b[1;32m 584\\u001b[0m send_kwargs \\u001b[38;5;241m=\\u001b[39m {\\n\\u001b[1;32m 585\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mtimeout\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: timeout,\\n\\u001b[1;32m 586\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mallow_redirects\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: allow_redirects,\\n\\u001b[1;32m 587\\u001b[0m }\\n\\u001b[1;32m 588\\u001b[0m send_kwargs\\u001b[38;5;241m.\\u001b[39mupdate(settings)\\n\\u001b[0;32m--> 589\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mprep\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43msend_kwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 591\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m resp\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:703\\u001b[0m, in \\u001b[0;36mSession.send\\u001b[0;34m(self, request, **kwargs)\\u001b[0m\\n\\u001b[1;32m 700\\u001b[0m start \\u001b[38;5;241m=\\u001b[39m preferred_clock()\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;66;03m# Send the request\\u001b[39;00m\\n\\u001b[0;32m--> 703\\u001b[0m r \\u001b[38;5;241m=\\u001b[39m \\u001b[43madapter\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mrequest\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m \\u001b[38;5;66;03m# Total elapsed time of the request (approximately)\\u001b[39;00m\\n\\u001b[1;32m 706\\u001b[0m elapsed \\u001b[38;5;241m=\\u001b[39m preferred_clock() \\u001b[38;5;241m-\\u001b[39m start\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:700\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 696\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;28misinstance\\u001b[39m(e\\u001b[38;5;241m.\\u001b[39mreason, _SSLError):\\n\\u001b[1;32m 697\\u001b[0m \\u001b[38;5;66;03m# This branch is for urllib3 v1.22 and later.\\u001b[39;00m\\n\\u001b[1;32m 698\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m SSLError(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[0;32m--> 700\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m ClosedPoolError \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[1;32m 703\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\",\n- \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n+ \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n ]\n }\n ],\n \"source\": [\n \"import xarray as xr\\n\",\n \"import numpy as np\\n\",\n \"import pandas as pd\\n\",\n"}]}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/monthly-means.html", "source2": "./usr/share/doc/python-xarray-doc/html/examples/monthly-means.html", "has_internal_linenos": true, "unified_diff": "@@ -2258,15 +2258,15 @@\n 00008d10: 733c 2f73 7061 6e3e 2065 3a0a 0a3c 7370 s e:..NameResol\n 00008d40: 7574 696f 6e45 7272 6f72 3c2f 7370 616e utionError: <urllib3.c\n 00008d60: 6f6e 6e65 6374 696f 6e2e 4854 5450 5343 onnection.HTTPSC\n 00008d70: 6f6e 6e65 6374 696f 6e20 6f62 6a65 6374 onnection object\n-00008d80: 2061 7420 3078 6666 6666 3634 6333 3165 at 0xffff64c31e\n+00008d80: 2061 7420 3078 6666 6666 3665 3632 3165 at 0xffff6e621e\n 00008d90: 3830 2667 743b 3a20 4661 696c 6564 2074 80>: Failed t\n 00008da0: 6f20 7265 736f 6c76 6520 2623 3339 3b67 o resolve 'g\n 00008db0: 6974 6875 622e 636f 6d26 2333 393b 2028 ithub.com' (\n 00008dc0: 5b45 7272 6e6f 202d 335d 2054 656d 706f [Errno -3] Tempo\n 00008dd0: 7261 7279 2066 6169 6c75 7265 2069 6e20 rary failure in \n 00008de0: 6e61 6d65 2072 6573 6f6c 7574 696f 6e29 name resolution)\n 00008df0: 0a0a 5468 6520 6162 6f76 6520 6578 6365 ..The above exce\n@@ -2839,15 +2839,15 @@\n 0000b160: 6461 7461 2f72 6177 2f6d 6173 7465 722f data/raw/master/\n 0000b170: 7261 736d 2e6e 6320 2843 6175 7365 6420 rasm.nc (Caused \n 0000b180: 6279 204e 616d 6552 6573 6f6c 7574 696f by NameResolutio\n 0000b190: 6e45 7272 6f72 2826 2333 343b 266c 743b nError("<\n 0000b1a0: 7572 6c6c 6962 332e 636f 6e6e 6563 7469 urllib3.connecti\n 0000b1b0: 6f6e 2e48 5454 5053 436f 6e6e 6563 7469 on.HTTPSConnecti\n 0000b1c0: 6f6e 206f 626a 6563 7420 6174 2030 7866 on object at 0xf\n-0000b1d0: 6666 6636 3463 3331 6538 3026 6774 3b3a fff64c31e80>:\n+0000b1d0: 6666 6636 6536 3231 6538 3026 6774 3b3a fff6e621e80>:\n 0000b1e0: 2046 6169 6c65 6420 746f 2072 6573 6f6c Failed to resol\n 0000b1f0: 7665 2026 2333 393b 6769 7468 7562 2e63 ve 'github.c\n 0000b200: 6f6d 2623 3339 3b20 285b 4572 726e 6f20 om' ([Errno \n 0000b210: 2d33 5d20 5465 6d70 6f72 6172 7920 6661 -3] Temporary fa\n 0000b220: 696c 7572 6520 696e 206e 616d 6520 7265 ilure in name re\n 0000b230: 736f 6c75 7469 6f6e 2926 2333 343b 2929 solution)"))\n 0000b240: 0a0a 4475 7269 6e67 2068 616e 646c 696e ..During handlin\n@@ -4078,15 +4078,15 @@\n 0000fed0: 612f 7861 7272 6179 2d64 6174 612f 7261 a/xarray-data/ra\n 0000fee0: 772f 6d61 7374 6572 2f72 6173 6d2e 6e63 w/master/rasm.nc\n 0000fef0: 2028 4361 7573 6564 2062 7920 4e61 6d65 (Caused by Name\n 0000ff00: 5265 736f 6c75 7469 6f6e 4572 726f 7228 ResolutionError(\n 0000ff10: 2623 3334 3b26 6c74 3b75 726c 6c69 6233 "<urllib3\n 0000ff20: 2e63 6f6e 6e65 6374 696f 6e2e 4854 5450 .connection.HTTP\n 0000ff30: 5343 6f6e 6e65 6374 696f 6e20 6f62 6a65 SConnection obje\n-0000ff40: 6374 2061 7420 3078 6666 6666 3634 6333 ct at 0xffff64c3\n+0000ff40: 6374 2061 7420 3078 6666 6666 3665 3632 ct at 0xffff6e62\n 0000ff50: 3165 3830 2667 743b 3a20 4661 696c 6564 1e80>: Failed\n 0000ff60: 2074 6f20 7265 736f 6c76 6520 2623 3339 to resolve '\n 0000ff70: 3b67 6974 6875 622e 636f 6d26 2333 393b ;github.com'\n 0000ff80: 2028 5b45 7272 6e6f 202d 335d 2054 656d ([Errno -3] Tem\n 0000ff90: 706f 7261 7279 2066 6169 6c75 7265 2069 porary failure i\n 0000ffa0: 6e20 6e61 6d65 2072 6573 6f6c 7574 696f n name resolutio\n 0000ffb0: 6e29 2623 3334 3b29 290a 3c2f 7072 653e n)")).\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -136,15 +136,15 @@\n File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in\n HTTPConnection._new_conn(self)\n 204 except socket.gaierror as e:\n --> 205 raise NameResolutionError(self.host, self, e) from e\n 206 except SocketTimeout as e:\n \n NameResolutionError: : Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff6e621e80>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\n \n The above exception was the direct cause of the following exception:\n \n MaxRetryError Traceback (most recent call last)\n File /usr/lib/python3/dist-packages/requests/adapters.py:667, in\n HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)\n@@ -180,15 +180,15 @@\n --> 519 raise MaxRetryError(_pool, url, reason) from reason # type: ignore\n [arg-type]\n 521 log.debug(\"Incremented Retry for (url='%s'): %r\", url, new_retry)\n \n MaxRetryError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff6e621e80>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n \n During handling of the above exception, another exception occurred:\n \n ConnectionError Traceback (most recent call last)\n Cell In[2], line 1\n ----> 1 ds = xr.tutorial.open_dataset(\"rasm\").load()\n@@ -285,15 +285,15 @@\n --> 700 raise ConnectionError(e, request=request)\n 702 except ClosedPoolError as e:\n 703 raise ConnectionError(e, request=request)\n \n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff6e621e80>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n *\b**\b**\b**\b**\b* N\bNo\bow\bw f\bfo\bor\br t\bth\bhe\be h\bhe\bea\bav\bvy\by l\bli\bif\bft\bti\bin\bng\bg:\b:_\b#\b# *\b**\b**\b**\b**\b*\n We first have to come up with the weights, - calculate the month length for\n each monthly data record - calculate weights using groupby('time.season')\n Finally, we just need to multiply our weights by the Dataset and sum along the\n time dimension. Creating a DataArray for the month length is as easy as using\n the days_in_month accessor on the time coordinate. The calendar type, in this\n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/monthly-means.ipynb.gz", "source2": "./usr/share/doc/python-xarray-doc/html/examples/monthly-means.ipynb.gz", "unified_diff": null, "details": [{"source1": "monthly-means.ipynb", "source2": "monthly-means.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9985565110565111%", "Differences: {\"'cells'\": \"{1: {'metadata': {'execution': {'iopub.execute_input': '2026-07-01T07:45:54.775012Z', \"", " \"'iopub.status.busy': '2026-07-01T07:45:54.774777Z', 'iopub.status.idle': \"", " \"'2026-07-01T07:45:56.914506Z', 'shell.execute_reply': \"", " \"'2026-07-01T07:45:56.913780Z'}}}, 3: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2026-07-01T07:45:56.917559Z', 'iopub.status.busy': \"", " \"'2026-07-01T07:45:56.917150Z', 'iopub.status.idle': '2026-07-01T07:45:5 [\u2026]"], "unified_diff": "@@ -19,18 +19,18 @@\n \"execution_count\": 1,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:35.958210Z\",\n \"start_time\": \"2018-11-28T20:51:35.936966Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:24.130682Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:24.130352Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.090048Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.089072Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:54.775012Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:54.774777Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:56.914506Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:56.913780Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"%matplotlib inline\\n\",\n \"import numpy as np\\n\",\n \"import pandas as pd\\n\",\n@@ -50,24 +50,24 @@\n \"execution_count\": 2,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:36.072316Z\",\n \"start_time\": \"2018-11-28T20:51:36.016594Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.094918Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.094110Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.741511Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.740353Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:56.917559Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:56.917150Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:57.842625Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:57.841754Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"ConnectionError\",\n- \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"output_type\": \"error\",\n \"traceback\": [\n \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n \"\\u001b[0;31mgaierror\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:198\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 197\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 198\\u001b[0m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconnection\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mcreate_connection\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 199\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_dns_host\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mport\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 200\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 201\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msource_address\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msource_address\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 202\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msocket_options\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msocket_options\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 203\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/connection.py:60\\u001b[0m, in \\u001b[0;36mcreate_connection\\u001b[0;34m(address, timeout, source_address, socket_options)\\u001b[0m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m LocationParseError(\\u001b[38;5;124mf\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m{\\u001b[39;00mhost\\u001b[38;5;132;01m}\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m, label empty or too long\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m\\n\\u001b[0;32m---> 60\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mSOCK_STREAM\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 61\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n \"File \\u001b[0;32m/usr/lib/python3.13/socket.py:977\\u001b[0m, in \\u001b[0;36mgetaddrinfo\\u001b[0;34m(host, port, family, type, proto, flags)\\u001b[0m\\n\\u001b[1;32m 976\\u001b[0m addrlist \\u001b[38;5;241m=\\u001b[39m []\\n\\u001b[0;32m--> 977\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43m_socket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mtype\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mproto\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mflags\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 978\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n@@ -76,34 +76,34 @@\n \"\\u001b[0;31mNameResolutionError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:787\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 786\\u001b[0m \\u001b[38;5;66;03m# Make the request on the HTTPConnection object\\u001b[39;00m\\n\\u001b[0;32m--> 787\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_make_request\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 788\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 789\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 790\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 791\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout_obj\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 792\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 793\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 794\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 795\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mretries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 796\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 797\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mpreload_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 798\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdecode_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 799\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mresponse_kw\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 800\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 802\\u001b[0m \\u001b[38;5;66;03m# Everything went great!\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:488\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 487\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m _wrap_proxy_error(new_e, conn\\u001b[38;5;241m.\\u001b[39mproxy\\u001b[38;5;241m.\\u001b[39mscheme)\\n\\u001b[0;32m--> 488\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m new_e\\n\\u001b[1;32m 490\\u001b[0m \\u001b[38;5;66;03m# conn.request() calls http.client.*.request, not the method in\\u001b[39;00m\\n\\u001b[1;32m 491\\u001b[0m \\u001b[38;5;66;03m# urllib3.request. It also calls makefile (recv) on the socket.\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:464\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 463\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 464\\u001b[0m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_validate_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 465\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (SocketTimeout, BaseSSLError) \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:1093\\u001b[0m, in \\u001b[0;36mHTTPSConnectionPool._validate_conn\\u001b[0;34m(self, conn)\\u001b[0m\\n\\u001b[1;32m 1092\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m conn\\u001b[38;5;241m.\\u001b[39mis_closed:\\n\\u001b[0;32m-> 1093\\u001b[0m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mconnect\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 1095\\u001b[0m \\u001b[38;5;66;03m# TODO revise this, see https://github.com/urllib3/urllib3/issues/2791\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:704\\u001b[0m, in \\u001b[0;36mHTTPSConnection.connect\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 703\\u001b[0m sock: socket\\u001b[38;5;241m.\\u001b[39msocket \\u001b[38;5;241m|\\u001b[39m ssl\\u001b[38;5;241m.\\u001b[39mSSLSocket\\n\\u001b[0;32m--> 704\\u001b[0m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39msock \\u001b[38;5;241m=\\u001b[39m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_new_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m server_hostname: \\u001b[38;5;28mstr\\u001b[39m \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:205\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[0;32m--> 205\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m NameResolutionError(\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost, \\u001b[38;5;28mself\\u001b[39m, e) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01me\\u001b[39;00m\\n\\u001b[1;32m 206\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m SocketTimeout \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n- \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n+ \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n \"\\nThe above exception was the direct cause of the following exception:\\n\",\n \"\\u001b[0;31mMaxRetryError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:667\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 666\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 667\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43murlopen\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 668\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 669\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 670\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 671\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 672\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mredirect\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 673\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43massert_same_host\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 674\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 675\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 676\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmax_retries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 677\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 678\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 679\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 681\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (ProtocolError, \\u001b[38;5;167;01mOSError\\u001b[39;00m) \\u001b[38;5;28;01mas\\u001b[39;00m err:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:841\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 839\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m ProtocolError(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mConnection aborted.\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m, new_e)\\n\\u001b[0;32m--> 841\\u001b[0m retries \\u001b[38;5;241m=\\u001b[39m \\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mincrement\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 842\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43merror\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mnew_e\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_pool\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_stacktrace\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43msys\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mexc_info\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m]\\u001b[49m\\n\\u001b[1;32m 843\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 844\\u001b[0m retries\\u001b[38;5;241m.\\u001b[39msleep()\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py:519\\u001b[0m, in \\u001b[0;36mRetry.increment\\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\\u001b[0m\\n\\u001b[1;32m 518\\u001b[0m reason \\u001b[38;5;241m=\\u001b[39m error \\u001b[38;5;129;01mor\\u001b[39;00m ResponseError(cause)\\n\\u001b[0;32m--> 519\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m MaxRetryError(_pool, url, reason) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01mreason\\u001b[39;00m \\u001b[38;5;66;03m# type: ignore[arg-type]\\u001b[39;00m\\n\\u001b[1;32m 521\\u001b[0m log\\u001b[38;5;241m.\\u001b[39mdebug(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mIncremented Retry for (url=\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m): \\u001b[39m\\u001b[38;5;132;01m%r\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m, url, new_retry)\\n\",\n- \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"\\nDuring handling of the above exception, another exception occurred:\\n\",\n \"\\u001b[0;31mConnectionError\\u001b[0m Traceback (most recent call last)\",\n \"Cell \\u001b[0;32mIn[2], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m \\u001b[43mxr\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtutorial\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mopen_dataset\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mrasm\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m)\\u001b[49m\\u001b[38;5;241m.\\u001b[39mload()\\n\\u001b[1;32m 2\\u001b[0m ds\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/xarray/tutorial.py:167\\u001b[0m, in \\u001b[0;36mopen_dataset\\u001b[0;34m(name, cache, cache_dir, engine, **kws)\\u001b[0m\\n\\u001b[1;32m 164\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m pooch\\u001b[38;5;241m.\\u001b[39mHTTPDownloader(headers\\u001b[38;5;241m=\\u001b[39mheaders)\\n\\u001b[1;32m 166\\u001b[0m \\u001b[38;5;66;03m# retrieve the file\\u001b[39;00m\\n\\u001b[0;32m--> 167\\u001b[0m filepath \\u001b[38;5;241m=\\u001b[39m \\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mretrieve\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 168\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpath\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mcache_dir\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdownloader\\u001b[49m\\n\\u001b[1;32m 169\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 170\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m _open_dataset(filepath, engine\\u001b[38;5;241m=\\u001b[39mengine, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkws)\\n\\u001b[1;32m 171\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;129;01mnot\\u001b[39;00m cache:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:239\\u001b[0m, in \\u001b[0;36mretrieve\\u001b[0;34m(url, known_hash, fname, path, processor, downloader, progressbar)\\u001b[0m\\n\\u001b[1;32m 236\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m downloader \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 237\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m choose_downloader(url, progressbar\\u001b[38;5;241m=\\u001b[39mprogressbar)\\n\\u001b[0;32m--> 239\\u001b[0m \\u001b[43mstream_download\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfull_path\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 241\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m known_hash \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 242\\u001b[0m get_logger()\\u001b[38;5;241m.\\u001b[39minfo(\\n\\u001b[1;32m 243\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mSHA256 hash of downloaded file: \\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;130;01m\\\\n\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[1;32m 244\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mUse this value as the \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mknown_hash\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m argument of \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mpooch.retrieve\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 247\\u001b[0m file_hash(\\u001b[38;5;28mstr\\u001b[39m(full_path)),\\n\\u001b[1;32m 248\\u001b[0m )\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:807\\u001b[0m, in \\u001b[0;36mstream_download\\u001b[0;34m(url, fname, known_hash, downloader, pooch, retry_if_failed)\\u001b[0m\\n\\u001b[1;32m 803\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[1;32m 804\\u001b[0m \\u001b[38;5;66;03m# Stream the file to a temporary so that we can safely check its\\u001b[39;00m\\n\\u001b[1;32m 805\\u001b[0m \\u001b[38;5;66;03m# hash before overwriting the original.\\u001b[39;00m\\n\\u001b[1;32m 806\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m temporary_file(path\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mparent)) \\u001b[38;5;28;01mas\\u001b[39;00m tmp:\\n\\u001b[0;32m--> 807\\u001b[0m \\u001b[43mdownloader\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtmp\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 808\\u001b[0m hash_matches(tmp, known_hash, strict\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mTrue\\u001b[39;00m, source\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mname))\\n\\u001b[1;32m 809\\u001b[0m shutil\\u001b[38;5;241m.\\u001b[39mmove(tmp, \\u001b[38;5;28mstr\\u001b[39m(fname))\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/downloaders.py:220\\u001b[0m, in \\u001b[0;36mHTTPDownloader.__call__\\u001b[0;34m(self, url, output_file, pooch, check_only)\\u001b[0m\\n\\u001b[1;32m 218\\u001b[0m \\u001b[38;5;66;03m# pylint: enable=consider-using-with\\u001b[39;00m\\n\\u001b[1;32m 219\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 220\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[43mrequests\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mget\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 221\\u001b[0m response\\u001b[38;5;241m.\\u001b[39mraise_for_status()\\n\\u001b[1;32m 222\\u001b[0m content \\u001b[38;5;241m=\\u001b[39m response\\u001b[38;5;241m.\\u001b[39miter_content(chunk_size\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mchunk_size)\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:73\\u001b[0m, in \\u001b[0;36mget\\u001b[0;34m(url, params, **kwargs)\\u001b[0m\\n\\u001b[1;32m 62\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mget\\u001b[39m(url, params\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mNone\\u001b[39;00m, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkwargs):\\n\\u001b[1;32m 63\\u001b[0m \\u001b[38;5;250m \\u001b[39m\\u001b[38;5;124mr\\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\"Sends a GET request.\\u001b[39;00m\\n\\u001b[1;32m 64\\u001b[0m \\n\\u001b[1;32m 65\\u001b[0m \\u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\\u001b[39;00m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 70\\u001b[0m \\u001b[38;5;124;03m :rtype: requests.Response\\u001b[39;00m\\n\\u001b[1;32m 71\\u001b[0m \\u001b[38;5;124;03m \\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[0;32m---> 73\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mget\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mparams\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mparams\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:59\\u001b[0m, in \\u001b[0;36mrequest\\u001b[0;34m(method, url, **kwargs)\\u001b[0m\\n\\u001b[1;32m 55\\u001b[0m \\u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\\u001b[39;00m\\n\\u001b[1;32m 56\\u001b[0m \\u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\\u001b[39;00m\\n\\u001b[1;32m 57\\u001b[0m \\u001b[38;5;66;03m# cases, and look like a memory leak in others.\\u001b[39;00m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m sessions\\u001b[38;5;241m.\\u001b[39mSession() \\u001b[38;5;28;01mas\\u001b[39;00m session:\\n\\u001b[0;32m---> 59\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43msession\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:589\\u001b[0m, in \\u001b[0;36mSession.request\\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\\u001b[0m\\n\\u001b[1;32m 584\\u001b[0m send_kwargs \\u001b[38;5;241m=\\u001b[39m {\\n\\u001b[1;32m 585\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mtimeout\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: timeout,\\n\\u001b[1;32m 586\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mallow_redirects\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: allow_redirects,\\n\\u001b[1;32m 587\\u001b[0m }\\n\\u001b[1;32m 588\\u001b[0m send_kwargs\\u001b[38;5;241m.\\u001b[39mupdate(settings)\\n\\u001b[0;32m--> 589\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mprep\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43msend_kwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 591\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m resp\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:703\\u001b[0m, in \\u001b[0;36mSession.send\\u001b[0;34m(self, request, **kwargs)\\u001b[0m\\n\\u001b[1;32m 700\\u001b[0m start \\u001b[38;5;241m=\\u001b[39m preferred_clock()\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;66;03m# Send the request\\u001b[39;00m\\n\\u001b[0;32m--> 703\\u001b[0m r \\u001b[38;5;241m=\\u001b[39m \\u001b[43madapter\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mrequest\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m \\u001b[38;5;66;03m# Total elapsed time of the request (approximately)\\u001b[39;00m\\n\\u001b[1;32m 706\\u001b[0m elapsed \\u001b[38;5;241m=\\u001b[39m preferred_clock() \\u001b[38;5;241m-\\u001b[39m start\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:700\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 696\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;28misinstance\\u001b[39m(e\\u001b[38;5;241m.\\u001b[39mreason, _SSLError):\\n\\u001b[1;32m 697\\u001b[0m \\u001b[38;5;66;03m# This branch is for urllib3 v1.22 and later.\\u001b[39;00m\\n\\u001b[1;32m 698\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m SSLError(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[0;32m--> 700\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m ClosedPoolError \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[1;32m 703\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\",\n- \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n+ \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n ]\n }\n ],\n \"source\": [\n \"ds = xr.tutorial.open_dataset(\\\"rasm\\\").load()\\n\",\n \"ds\"\n ]\n@@ -121,18 +121,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 3,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.745777Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.745519Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.759405Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.758600Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:57.845704Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:57.845438Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:57.886436Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:57.885761Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n@@ -154,18 +154,18 @@\n \"execution_count\": 4,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:36.132413Z\",\n \"start_time\": \"2018-11-28T20:51:36.073708Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.762791Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.762540Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.778145Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.777321Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:57.889087Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:57.888856Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:57.914543Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:57.913892Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'month_length' is not defined\",\n \"output_type\": \"error\",\n@@ -195,18 +195,18 @@\n \"execution_count\": 5,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:36.152913Z\",\n \"start_time\": \"2018-11-28T20:51:36.133997Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.781470Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.781220Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.794268Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.793452Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:57.917233Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:57.916986Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:57.950628Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:57.949757Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds_weighted' is not defined\",\n \"output_type\": \"error\",\n@@ -227,18 +227,18 @@\n \"execution_count\": 6,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:36.190765Z\",\n \"start_time\": \"2018-11-28T20:51:36.154416Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.797814Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.797556Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.811814Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.810928Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:57.953372Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:57.953128Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:57.978844Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:57.978154Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n@@ -261,18 +261,18 @@\n \"execution_count\": 7,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:40.264871Z\",\n \"start_time\": \"2018-11-28T20:51:36.192467Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.815152Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.814892Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.837372Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.836574Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:57.981699Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:57.981430Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:58.030435Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:58.029758Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds_unweighted' is not defined\",\n \"output_type\": \"error\",\n@@ -341,18 +341,18 @@\n \"execution_count\": 8,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:51:40.284898Z\",\n \"start_time\": \"2018-11-28T20:51:40.266406Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:25.840654Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:25.840405Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:25.845296Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:25.844423Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:45:58.033231Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:45:58.032979Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:45:58.042424Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:45:58.041760Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"# Wrap it into a simple function\\n\",\n \"def season_mean(ds, calendar=\\\"standard\\\"):\\n\",\n \" # Make a DataArray with the number of days in each month, size = len(time)\\n\",\n"}]}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.html", "source2": "./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.html", "has_internal_linenos": true, "unified_diff": "@@ -2234,15 +2234,15 @@\n 00008b90: 2f73 7061 6e3e 2065 3a0a 0a3c 7370 616e /span> e:..NameResolut\n 00008bc0: 696f 6e45 7272 6f72 3c2f 7370 616e 3e3a ionError:\n 00008bd0: 2026 6c74 3b75 726c 6c69 6233 2e63 6f6e <urllib3.con\n 00008be0: 6e65 6374 696f 6e2e 4854 5450 5343 6f6e nection.HTTPSCon\n 00008bf0: 6e65 6374 696f 6e20 6f62 6a65 6374 2061 nection object a\n-00008c00: 7420 3078 6666 6666 3535 3236 3863 3230 t 0xffff55268c20\n+00008c00: 7420 3078 6666 6666 3339 6563 3863 3230 t 0xffff39ec8c20\n 00008c10: 2667 743b 3a20 4661 696c 6564 2074 6f20 >: Failed to \n 00008c20: 7265 736f 6c76 6520 2623 3339 3b67 6974 resolve 'git\n 00008c30: 6875 622e 636f 6d26 2333 393b 2028 5b45 hub.com' ([E\n 00008c40: 7272 6e6f 202d 335d 2054 656d 706f 7261 rrno -3] Tempora\n 00008c50: 7279 2066 6169 6c75 7265 2069 6e20 6e61 ry failure in na\n 00008c60: 6d65 2072 6573 6f6c 7574 696f 6e29 0a0a me resolution)..\n 00008c70: 5468 6520 6162 6f76 6520 6578 6365 7074 The above except\n@@ -2815,15 +2815,15 @@\n 0000afe0: 7461 2f72 6177 2f6d 6173 7465 722f 7261 ta/raw/master/ra\n 0000aff0: 736d 2e6e 6320 2843 6175 7365 6420 6279 sm.nc (Caused by\n 0000b000: 204e 616d 6552 6573 6f6c 7574 696f 6e45 NameResolutionE\n 0000b010: 7272 6f72 2826 2333 343b 266c 743b 7572 rror("<ur\n 0000b020: 6c6c 6962 332e 636f 6e6e 6563 7469 6f6e llib3.connection\n 0000b030: 2e48 5454 5053 436f 6e6e 6563 7469 6f6e .HTTPSConnection\n 0000b040: 206f 626a 6563 7420 6174 2030 7866 6666 object at 0xfff\n-0000b050: 6635 3532 3638 6332 3026 6774 3b3a 2046 f55268c20>: F\n+0000b050: 6633 3965 6338 6332 3026 6774 3b3a 2046 f39ec8c20>: F\n 0000b060: 6169 6c65 6420 746f 2072 6573 6f6c 7665 ailed to resolve\n 0000b070: 2026 2333 393b 6769 7468 7562 2e63 6f6d 'github.com\n 0000b080: 2623 3339 3b20 285b 4572 726e 6f20 2d33 ' ([Errno -3\n 0000b090: 5d20 5465 6d70 6f72 6172 7920 6661 696c ] Temporary fail\n 0000b0a0: 7572 6520 696e 206e 616d 6520 7265 736f ure in name reso\n 0000b0b0: 6c75 7469 6f6e 2926 2333 343b 2929 0a0a lution)"))..\n 0000b0c0: 4475 7269 6e67 2068 616e 646c 696e 6720 During handling \n@@ -4054,15 +4054,15 @@\n 0000fd50: 7861 7272 6179 2d64 6174 612f 7261 772f xarray-data/raw/\n 0000fd60: 6d61 7374 6572 2f72 6173 6d2e 6e63 2028 master/rasm.nc (\n 0000fd70: 4361 7573 6564 2062 7920 4e61 6d65 5265 Caused by NameRe\n 0000fd80: 736f 6c75 7469 6f6e 4572 726f 7228 2623 solutionError(&#\n 0000fd90: 3334 3b26 6c74 3b75 726c 6c69 6233 2e63 34;<urllib3.c\n 0000fda0: 6f6e 6e65 6374 696f 6e2e 4854 5450 5343 onnection.HTTPSC\n 0000fdb0: 6f6e 6e65 6374 696f 6e20 6f62 6a65 6374 onnection object\n-0000fdc0: 2061 7420 3078 6666 6666 3535 3236 3863 at 0xffff55268c\n+0000fdc0: 2061 7420 3078 6666 6666 3339 6563 3863 at 0xffff39ec8c\n 0000fdd0: 3230 2667 743b 3a20 4661 696c 6564 2074 20>: Failed t\n 0000fde0: 6f20 7265 736f 6c76 6520 2623 3339 3b67 o resolve 'g\n 0000fdf0: 6974 6875 622e 636f 6d26 2333 393b 2028 ithub.com' (\n 0000fe00: 5b45 7272 6e6f 202d 335d 2054 656d 706f [Errno -3] Tempo\n 0000fe10: 7261 7279 2066 6169 6c75 7265 2069 6e20 rary failure in \n 0000fe20: 6e61 6d65 2072 6573 6f6c 7574 696f 6e29 name resolution)\n 0000fe30: 2623 3334 3b29 290a 3c2f 7072 653e 3c2f ")). 205 raise NameResolutionError(self.host, self, e) from e\n 206 except SocketTimeout as e:\n \n NameResolutionError: : Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff39ec8c20>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\n \n The above exception was the direct cause of the following exception:\n \n MaxRetryError Traceback (most recent call last)\n File /usr/lib/python3/dist-packages/requests/adapters.py:667, in\n HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)\n@@ -178,15 +178,15 @@\n --> 519 raise MaxRetryError(_pool, url, reason) from reason # type: ignore\n [arg-type]\n 521 log.debug(\"Incremented Retry for (url='%s'): %r\", url, new_retry)\n \n MaxRetryError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff39ec8c20>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n \n During handling of the above exception, another exception occurred:\n \n ConnectionError Traceback (most recent call last)\n Cell In[2], line 1\n ----> 1 ds = xr.tutorial.open_dataset(\"rasm\").load()\n@@ -283,15 +283,15 @@\n --> 700 raise ConnectionError(e, request=request)\n 702 except ClosedPoolError as e:\n 703 raise ConnectionError(e, request=request)\n \n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by\n NameResolutionError(\": Failed to resolve 'github.com' ([Errno -3] Temporary failure\n+0xffff39ec8c20>: Failed to resolve 'github.com' ([Errno -3] Temporary failure\n in name resolution)\"))\n In this example, the l\blo\bog\bgi\bic\bca\bal\bl c\bco\boo\bor\brd\bdi\bin\bna\bat\bte\bes\bs are x and y, while the p\bph\bhy\bys\bsi\bic\bca\bal\bl\n c\bco\boo\bor\brd\bdi\bin\bna\bat\bte\bes\bs are xc and yc, which represent the longitudes and latitudes of the\n data.\n [3]:\n print(ds.xc.attrs)\n print(ds.yc.attrs)\n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.ipynb.gz", "source2": "./usr/share/doc/python-xarray-doc/html/examples/multidimensional-coords.ipynb.gz", "unified_diff": null, "details": [{"source1": "multidimensional-coords.ipynb", "source2": "multidimensional-coords.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9991497747747748%", "Differences: {\"'cells'\": \"{1: {'metadata': {'execution': {'iopub.execute_input': '2026-07-01T07:46:04.010602Z', \"", " \"'iopub.status.busy': '2026-07-01T07:46:04.010330Z', 'iopub.status.idle': \"", " \"'2026-07-01T07:46:05.482024Z', 'shell.execute_reply': \"", " \"'2026-07-01T07:46:05.475098Z'}}}, 3: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2026-07-01T07:46:05.488055Z', 'iopub.status.busy': \"", " \"'2026-07-01T07:46:05.487623Z', 'iopub.status.idle': '2026-07-01T07:46:0 [\u2026]"], "unified_diff": "@@ -16,18 +16,18 @@\n \"execution_count\": 1,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:49:56.068395Z\",\n \"start_time\": \"2018-11-28T20:49:56.035349Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:28.248536Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:28.247785Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:29.159612Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:29.158690Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:04.010602Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:04.010330Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:05.482024Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:05.475098Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"%matplotlib inline\\n\",\n \"import numpy as np\\n\",\n \"import pandas as pd\\n\",\n@@ -48,24 +48,24 @@\n \"execution_count\": 2,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:50:13.629720Z\",\n \"start_time\": \"2018-11-28T20:50:13.484542Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:29.163457Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:29.163028Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:29.761892Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:29.760838Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:05.488055Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:05.487623Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:06.274101Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:06.268251Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"ConnectionError\",\n- \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"evalue\": \"HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"output_type\": \"error\",\n \"traceback\": [\n \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n \"\\u001b[0;31mgaierror\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:198\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 197\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 198\\u001b[0m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconnection\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mcreate_connection\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 199\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_dns_host\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mport\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 200\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 201\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msource_address\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msource_address\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 202\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43msocket_options\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msocket_options\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 203\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/connection.py:60\\u001b[0m, in \\u001b[0;36mcreate_connection\\u001b[0;34m(address, timeout, source_address, socket_options)\\u001b[0m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m LocationParseError(\\u001b[38;5;124mf\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m{\\u001b[39;00mhost\\u001b[38;5;132;01m}\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m, label empty or too long\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m\\n\\u001b[0;32m---> 60\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43msocket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mSOCK_STREAM\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 61\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n \"File \\u001b[0;32m/usr/lib/python3.13/socket.py:977\\u001b[0m, in \\u001b[0;36mgetaddrinfo\\u001b[0;34m(host, port, family, type, proto, flags)\\u001b[0m\\n\\u001b[1;32m 976\\u001b[0m addrlist \\u001b[38;5;241m=\\u001b[39m []\\n\\u001b[0;32m--> 977\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m res \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[43m_socket\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mgetaddrinfo\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mhost\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mport\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfamily\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mtype\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mproto\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mflags\\u001b[49m\\u001b[43m)\\u001b[49m:\\n\\u001b[1;32m 978\\u001b[0m af, socktype, proto, canonname, sa \\u001b[38;5;241m=\\u001b[39m res\\n\",\n@@ -74,34 +74,34 @@\n \"\\u001b[0;31mNameResolutionError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:787\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 786\\u001b[0m \\u001b[38;5;66;03m# Make the request on the HTTPConnection object\\u001b[39;00m\\n\\u001b[0;32m--> 787\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_make_request\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 788\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 789\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 790\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 791\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout_obj\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 792\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 793\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 794\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 795\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mretries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 796\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mresponse_conn\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 797\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mpreload_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 798\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdecode_content\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 799\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mresponse_kw\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 800\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 802\\u001b[0m \\u001b[38;5;66;03m# Everything went great!\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:488\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 487\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m _wrap_proxy_error(new_e, conn\\u001b[38;5;241m.\\u001b[39mproxy\\u001b[38;5;241m.\\u001b[39mscheme)\\n\\u001b[0;32m--> 488\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m new_e\\n\\u001b[1;32m 490\\u001b[0m \\u001b[38;5;66;03m# conn.request() calls http.client.*.request, not the method in\\u001b[39;00m\\n\\u001b[1;32m 491\\u001b[0m \\u001b[38;5;66;03m# urllib3.request. It also calls makefile (recv) on the socket.\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:464\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool._make_request\\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\\u001b[0m\\n\\u001b[1;32m 463\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 464\\u001b[0m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_validate_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mconn\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 465\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (SocketTimeout, BaseSSLError) \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:1093\\u001b[0m, in \\u001b[0;36mHTTPSConnectionPool._validate_conn\\u001b[0;34m(self, conn)\\u001b[0m\\n\\u001b[1;32m 1092\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m conn\\u001b[38;5;241m.\\u001b[39mis_closed:\\n\\u001b[0;32m-> 1093\\u001b[0m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mconnect\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 1095\\u001b[0m \\u001b[38;5;66;03m# TODO revise this, see https://github.com/urllib3/urllib3/issues/2791\\u001b[39;00m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:704\\u001b[0m, in \\u001b[0;36mHTTPSConnection.connect\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 703\\u001b[0m sock: socket\\u001b[38;5;241m.\\u001b[39msocket \\u001b[38;5;241m|\\u001b[39m ssl\\u001b[38;5;241m.\\u001b[39mSSLSocket\\n\\u001b[0;32m--> 704\\u001b[0m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39msock \\u001b[38;5;241m=\\u001b[39m sock \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43m_new_conn\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m server_hostname: \\u001b[38;5;28mstr\\u001b[39m \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connection.py:205\\u001b[0m, in \\u001b[0;36mHTTPConnection._new_conn\\u001b[0;34m(self)\\u001b[0m\\n\\u001b[1;32m 204\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m socket\\u001b[38;5;241m.\\u001b[39mgaierror \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[0;32m--> 205\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m NameResolutionError(\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mhost, \\u001b[38;5;28mself\\u001b[39m, e) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01me\\u001b[39;00m\\n\\u001b[1;32m 206\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m SocketTimeout \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\",\n- \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n+ \"\\u001b[0;31mNameResolutionError\\u001b[0m: : Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\",\n \"\\nThe above exception was the direct cause of the following exception:\\n\",\n \"\\u001b[0;31mMaxRetryError\\u001b[0m Traceback (most recent call last)\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:667\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 666\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 667\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[43mconn\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43murlopen\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 668\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 669\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 670\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mbody\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mbody\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 671\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mheaders\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mheaders\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 672\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mredirect\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 673\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43massert_same_host\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 674\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mpreload_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 675\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mdecode_content\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mFalse\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 676\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mmax_retries\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 677\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 678\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mchunked\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mchunked\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m 679\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 681\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m (ProtocolError, \\u001b[38;5;167;01mOSError\\u001b[39;00m) \\u001b[38;5;28;01mas\\u001b[39;00m err:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/connectionpool.py:841\\u001b[0m, in \\u001b[0;36mHTTPConnectionPool.urlopen\\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\\u001b[0m\\n\\u001b[1;32m 839\\u001b[0m new_e \\u001b[38;5;241m=\\u001b[39m ProtocolError(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mConnection aborted.\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m, new_e)\\n\\u001b[0;32m--> 841\\u001b[0m retries \\u001b[38;5;241m=\\u001b[39m \\u001b[43mretries\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mincrement\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 842\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43merror\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mnew_e\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_pool\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43m_stacktrace\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43msys\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mexc_info\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m]\\u001b[49m\\n\\u001b[1;32m 843\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 844\\u001b[0m retries\\u001b[38;5;241m.\\u001b[39msleep()\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/urllib3/util/retry.py:519\\u001b[0m, in \\u001b[0;36mRetry.increment\\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\\u001b[0m\\n\\u001b[1;32m 518\\u001b[0m reason \\u001b[38;5;241m=\\u001b[39m error \\u001b[38;5;129;01mor\\u001b[39;00m ResponseError(cause)\\n\\u001b[0;32m--> 519\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m MaxRetryError(_pool, url, reason) \\u001b[38;5;28;01mfrom\\u001b[39;00m \\u001b[38;5;21;01mreason\\u001b[39;00m \\u001b[38;5;66;03m# type: ignore[arg-type]\\u001b[39;00m\\n\\u001b[1;32m 521\\u001b[0m log\\u001b[38;5;241m.\\u001b[39mdebug(\\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mIncremented Retry for (url=\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m): \\u001b[39m\\u001b[38;5;132;01m%r\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m, url, new_retry)\\n\",\n- \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n+ \"\\u001b[0;31mMaxRetryError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\",\n \"\\nDuring handling of the above exception, another exception occurred:\\n\",\n \"\\u001b[0;31mConnectionError\\u001b[0m Traceback (most recent call last)\",\n \"Cell \\u001b[0;32mIn[2], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m \\u001b[43mxr\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtutorial\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mopen_dataset\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mrasm\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m)\\u001b[49m\\u001b[38;5;241m.\\u001b[39mload()\\n\\u001b[1;32m 2\\u001b[0m ds\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/xarray/tutorial.py:167\\u001b[0m, in \\u001b[0;36mopen_dataset\\u001b[0;34m(name, cache, cache_dir, engine, **kws)\\u001b[0m\\n\\u001b[1;32m 164\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m pooch\\u001b[38;5;241m.\\u001b[39mHTTPDownloader(headers\\u001b[38;5;241m=\\u001b[39mheaders)\\n\\u001b[1;32m 166\\u001b[0m \\u001b[38;5;66;03m# retrieve the file\\u001b[39;00m\\n\\u001b[0;32m--> 167\\u001b[0m filepath \\u001b[38;5;241m=\\u001b[39m \\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mretrieve\\u001b[49m\\u001b[43m(\\u001b[49m\\n\\u001b[1;32m 168\\u001b[0m \\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpath\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mcache_dir\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mdownloader\\u001b[49m\\n\\u001b[1;32m 169\\u001b[0m \\u001b[43m\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 170\\u001b[0m ds \\u001b[38;5;241m=\\u001b[39m _open_dataset(filepath, engine\\u001b[38;5;241m=\\u001b[39mengine, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkws)\\n\\u001b[1;32m 171\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;129;01mnot\\u001b[39;00m cache:\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:239\\u001b[0m, in \\u001b[0;36mretrieve\\u001b[0;34m(url, known_hash, fname, path, processor, downloader, progressbar)\\u001b[0m\\n\\u001b[1;32m 236\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m downloader \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 237\\u001b[0m downloader \\u001b[38;5;241m=\\u001b[39m choose_downloader(url, progressbar\\u001b[38;5;241m=\\u001b[39mprogressbar)\\n\\u001b[0;32m--> 239\\u001b[0m \\u001b[43mstream_download\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfull_path\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mknown_hash\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mdownloader\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mNone\\u001b[39;49;00m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 241\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m known_hash \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mNone\\u001b[39;00m:\\n\\u001b[1;32m 242\\u001b[0m get_logger()\\u001b[38;5;241m.\\u001b[39minfo(\\n\\u001b[1;32m 243\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mSHA256 hash of downloaded file: \\u001b[39m\\u001b[38;5;132;01m%s\\u001b[39;00m\\u001b[38;5;130;01m\\\\n\\u001b[39;00m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[1;32m 244\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mUse this value as the \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mknown_hash\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m argument of \\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mpooch.retrieve\\u001b[39m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 247\\u001b[0m file_hash(\\u001b[38;5;28mstr\\u001b[39m(full_path)),\\n\\u001b[1;32m 248\\u001b[0m )\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/core.py:807\\u001b[0m, in \\u001b[0;36mstream_download\\u001b[0;34m(url, fname, known_hash, downloader, pooch, retry_if_failed)\\u001b[0m\\n\\u001b[1;32m 803\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[1;32m 804\\u001b[0m \\u001b[38;5;66;03m# Stream the file to a temporary so that we can safely check its\\u001b[39;00m\\n\\u001b[1;32m 805\\u001b[0m \\u001b[38;5;66;03m# hash before overwriting the original.\\u001b[39;00m\\n\\u001b[1;32m 806\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m temporary_file(path\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mparent)) \\u001b[38;5;28;01mas\\u001b[39;00m tmp:\\n\\u001b[0;32m--> 807\\u001b[0m \\u001b[43mdownloader\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtmp\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mpooch\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 808\\u001b[0m hash_matches(tmp, known_hash, strict\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mTrue\\u001b[39;00m, source\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mstr\\u001b[39m(fname\\u001b[38;5;241m.\\u001b[39mname))\\n\\u001b[1;32m 809\\u001b[0m shutil\\u001b[38;5;241m.\\u001b[39mmove(tmp, \\u001b[38;5;28mstr\\u001b[39m(fname))\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/pooch/downloaders.py:220\\u001b[0m, in \\u001b[0;36mHTTPDownloader.__call__\\u001b[0;34m(self, url, output_file, pooch, check_only)\\u001b[0m\\n\\u001b[1;32m 218\\u001b[0m \\u001b[38;5;66;03m# pylint: enable=consider-using-with\\u001b[39;00m\\n\\u001b[1;32m 219\\u001b[0m \\u001b[38;5;28;01mtry\\u001b[39;00m:\\n\\u001b[0;32m--> 220\\u001b[0m response \\u001b[38;5;241m=\\u001b[39m \\u001b[43mrequests\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mget\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mtimeout\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mtimeout\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 221\\u001b[0m response\\u001b[38;5;241m.\\u001b[39mraise_for_status()\\n\\u001b[1;32m 222\\u001b[0m content \\u001b[38;5;241m=\\u001b[39m response\\u001b[38;5;241m.\\u001b[39miter_content(chunk_size\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mself\\u001b[39m\\u001b[38;5;241m.\\u001b[39mchunk_size)\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:73\\u001b[0m, in \\u001b[0;36mget\\u001b[0;34m(url, params, **kwargs)\\u001b[0m\\n\\u001b[1;32m 62\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mget\\u001b[39m(url, params\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mNone\\u001b[39;00m, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mkwargs):\\n\\u001b[1;32m 63\\u001b[0m \\u001b[38;5;250m \\u001b[39m\\u001b[38;5;124mr\\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\"Sends a GET request.\\u001b[39;00m\\n\\u001b[1;32m 64\\u001b[0m \\n\\u001b[1;32m 65\\u001b[0m \\u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\\u001b[39;00m\\n\\u001b[0;32m (...)\\u001b[0m\\n\\u001b[1;32m 70\\u001b[0m \\u001b[38;5;124;03m :rtype: requests.Response\\u001b[39;00m\\n\\u001b[1;32m 71\\u001b[0m \\u001b[38;5;124;03m \\\"\\\"\\\"\\u001b[39;00m\\n\\u001b[0;32m---> 73\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[38;5;124;43mget\\u001b[39;49m\\u001b[38;5;124;43m\\\"\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mparams\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mparams\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/api.py:59\\u001b[0m, in \\u001b[0;36mrequest\\u001b[0;34m(method, url, **kwargs)\\u001b[0m\\n\\u001b[1;32m 55\\u001b[0m \\u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\\u001b[39;00m\\n\\u001b[1;32m 56\\u001b[0m \\u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\\u001b[39;00m\\n\\u001b[1;32m 57\\u001b[0m \\u001b[38;5;66;03m# cases, and look like a memory leak in others.\\u001b[39;00m\\n\\u001b[1;32m 58\\u001b[0m \\u001b[38;5;28;01mwith\\u001b[39;00m sessions\\u001b[38;5;241m.\\u001b[39mSession() \\u001b[38;5;28;01mas\\u001b[39;00m session:\\n\\u001b[0;32m---> 59\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[43msession\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mrequest\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mmethod\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mmethod\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43murl\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43murl\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:589\\u001b[0m, in \\u001b[0;36mSession.request\\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\\u001b[0m\\n\\u001b[1;32m 584\\u001b[0m send_kwargs \\u001b[38;5;241m=\\u001b[39m {\\n\\u001b[1;32m 585\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mtimeout\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: timeout,\\n\\u001b[1;32m 586\\u001b[0m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124mallow_redirects\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m: allow_redirects,\\n\\u001b[1;32m 587\\u001b[0m }\\n\\u001b[1;32m 588\\u001b[0m send_kwargs\\u001b[38;5;241m.\\u001b[39mupdate(settings)\\n\\u001b[0;32m--> 589\\u001b[0m resp \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28;43mself\\u001b[39;49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mprep\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43msend_kwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 591\\u001b[0m \\u001b[38;5;28;01mreturn\\u001b[39;00m resp\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/sessions.py:703\\u001b[0m, in \\u001b[0;36mSession.send\\u001b[0;34m(self, request, **kwargs)\\u001b[0m\\n\\u001b[1;32m 700\\u001b[0m start \\u001b[38;5;241m=\\u001b[39m preferred_clock()\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;66;03m# Send the request\\u001b[39;00m\\n\\u001b[0;32m--> 703\\u001b[0m r \\u001b[38;5;241m=\\u001b[39m \\u001b[43madapter\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msend\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mrequest\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m 705\\u001b[0m \\u001b[38;5;66;03m# Total elapsed time of the request (approximately)\\u001b[39;00m\\n\\u001b[1;32m 706\\u001b[0m elapsed \\u001b[38;5;241m=\\u001b[39m preferred_clock() \\u001b[38;5;241m-\\u001b[39m start\\n\",\n \"File \\u001b[0;32m/usr/lib/python3/dist-packages/requests/adapters.py:700\\u001b[0m, in \\u001b[0;36mHTTPAdapter.send\\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\\u001b[0m\\n\\u001b[1;32m 696\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m \\u001b[38;5;28misinstance\\u001b[39m(e\\u001b[38;5;241m.\\u001b[39mreason, _SSLError):\\n\\u001b[1;32m 697\\u001b[0m \\u001b[38;5;66;03m# This branch is for urllib3 v1.22 and later.\\u001b[39;00m\\n\\u001b[1;32m 698\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m SSLError(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[0;32m--> 700\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\\u001b[1;32m 702\\u001b[0m \\u001b[38;5;28;01mexcept\\u001b[39;00m ClosedPoolError \\u001b[38;5;28;01mas\\u001b[39;00m e:\\n\\u001b[1;32m 703\\u001b[0m \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mConnectionError\\u001b[39;00m(e, request\\u001b[38;5;241m=\\u001b[39mrequest)\\n\",\n- \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n+ \"\\u001b[0;31mConnectionError\\u001b[0m: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError(\\\": Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)\\\"))\"\n ]\n }\n ],\n \"source\": [\n \"ds = xr.tutorial.open_dataset(\\\"rasm\\\").load()\\n\",\n \"ds\"\n ]\n@@ -118,18 +118,18 @@\n \"execution_count\": 3,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:50:15.836061Z\",\n \"start_time\": \"2018-11-28T20:50:15.768376Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:29.765850Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:29.765586Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:29.790832Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:29.789986Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:06.279905Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:06.279642Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:06.321063Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:06.320509Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n@@ -160,18 +160,18 @@\n \"execution_count\": 4,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:50:17.928556Z\",\n \"start_time\": \"2018-11-28T20:50:17.031211Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:29.794339Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:29.794064Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:29.977993Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:29.977166Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:06.323974Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:06.323723Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:06.521838Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:06.521237Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n@@ -213,18 +213,18 @@\n \"execution_count\": 5,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:50:20.567749Z\",\n \"start_time\": \"2018-11-28T20:50:19.999393Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:29.982535Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:29.982245Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:29.996501Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:29.995840Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:06.524755Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:06.524496Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:06.539604Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:06.538899Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n@@ -252,18 +252,18 @@\n \"execution_count\": 6,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:50:31.131708Z\",\n \"start_time\": \"2018-11-28T20:50:30.444697Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:30.000236Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:29.999976Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:30.067170Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:30.066316Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:06.542339Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:06.542072Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:06.612193Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:06.611665Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n@@ -310,18 +310,18 @@\n \"execution_count\": 7,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2018-11-28T20:50:43.670463Z\",\n \"start_time\": \"2018-11-28T20:50:43.245501Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:30.070641Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:30.070377Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:30.086026Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:30.085253Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:06.614984Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:06.614742Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:06.631779Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:06.631181Z\"\n }\n },\n \"outputs\": [\n {\n \"ename\": \"NameError\",\n \"evalue\": \"name 'ds' is not defined\",\n \"output_type\": \"error\",\n"}]}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.html", "source2": "./usr/share/doc/python-xarray-doc/html/examples/visualization_gallery.html", "has_internal_linenos": true, "unified_diff": "@@ -2182,15 +2182,15 @@\n 00008850: 2f73 7061 6e3e 2065 3a0a 0a3c 7370 616e /span> e:..NameResolut\n 00008880: 696f 6e45 7272 6f72 3c2f 7370 616e 3e3a ionError:\n 00008890: 2026 6c74 3b75 726c 6c69 6233 2e63 6f6e <urllib3.con\n 000088a0: 6e65 6374 696f 6e2e 4854 5450 5343 6f6e nection.HTTPSCon\n 000088b0: 6e65 6374 696f 6e20 6f62 6a65 6374 2061 nection object a\n-000088c0: 7420 3078 6666 6666 3333 3164 3463 3230 t 0xffff331d4c20\n+000088c0: 7420 3078 6666 6666 3636 3238 3463 3230 t 0xffff66284c20\n 000088d0: 2667 743b 3a20 4661 696c 6564 2074 6f20 >: Failed to \n 000088e0: 7265 736f 6c76 6520 2623 3339 3b67 6974 resolve 'git\n 000088f0: 6875 622e 636f 6d26 2333 393b 2028 5b45 hub.com' ([E\n 00008900: 7272 6e6f 202d 335d 2054 656d 706f 7261 rrno -3] Tempora\n 00008910: 7279 2066 6169 6c75 7265 2069 6e20 6e61 ry failure in na\n 00008920: 6d65 2072 6573 6f6c 7574 696f 6e29 0a0a me resolution)..\n 00008930: 5468 6520 6162 6f76 6520 6578 6365 7074 The above except\n@@ -2763,15 +2763,15 @@\n 0000aca0: 7461 2f72 6177 2f6d 6173 7465 722f 6169 ta/raw/master/ai\n 0000acb0: 725f 7465 6d70 6572 6174 7572 652e 6e63 r_temperature.nc\n 0000acc0: 2028 4361 7573 6564 2062 7920 4e61 6d65 (Caused by Name\n 0000acd0: 5265 736f 6c75 7469 6f6e 4572 726f 7228 ResolutionError(\n 0000ace0: 2623 3334 3b26 6c74 3b75 726c 6c69 6233 "<urllib3\n 0000acf0: 2e63 6f6e 6e65 6374 696f 6e2e 4854 5450 .connection.HTTP\n 0000ad00: 5343 6f6e 6e65 6374 696f 6e20 6f62 6a65 SConnection obje\n-0000ad10: 6374 2061 7420 3078 6666 6666 3333 3164 ct at 0xffff331d\n+0000ad10: 6374 2061 7420 3078 6666 6666 3636 3238 ct at 0xffff6628\n 0000ad20: 3463 3230 2667 743b 3a20 4661 696c 6564 4c20>: Failed\n 0000ad30: 2074 6f20 7265 736f 6c76 6520 2623 3339 to resolve '\n 0000ad40: 3b67 6974 6875 622e 636f 6d26 2333 393b ;github.com'\n 0000ad50: 2028 5b45 7272 6e6f 202d 335d 2054 656d ([Errno -3] Tem\n 0000ad60: 706f 7261 7279 2066 6169 6c75 7265 2069 porary failure i\n 0000ad70: 6e20 6e61 6d65 2072 6573 6f6c 7574 696f n name resolutio\n 0000ad80: 6e29 2623 3334 3b29 290a 0a44 7572 696e n)"))..Durin\n@@ -4136,15 +4136,15 @@\n 00010270: 7374 6572 2f61 6972 5f74 656d 7065 7261 ster/air_tempera\n 00010280: 7475 7265 2e6e 6320 2843 6175 7365 6420 ture.nc (Caused \n 00010290: 6279 204e 616d 6552 6573 6f6c 7574 696f by NameResolutio\n 000102a0: 6e45 7272 6f72 2826 2333 343b 266c 743b nError("<\n 000102b0: 7572 6c6c 6962 332e 636f 6e6e 6563 7469 urllib3.connecti\n 000102c0: 6f6e 2e48 5454 5053 436f 6e6e 6563 7469 on.HTTPSConnecti\n 000102d0: 6f6e 206f 626a 6563 7420 6174 2030 7866 on object at 0xf\n-000102e0: 6666 6633 3331 6434 6332 3026 6774 3b3a fff331d4c20>:\n+000102e0: 6666 6636 3632 3834 6332 3026 6774 3b3a fff66284c20>:\n 000102f0: 2046 6169 6c65 6420 746f 2072 6573 6f6c Failed to resol\n 00010300: 7665 2026 2333 393b 6769 7468 7562 2e63 ve 'github.c\n 00010310: 6f6d 2623 3339 3b20 285b 4572 726e 6f20 om' ([Errno \n 00010320: 2d33 5d20 5465 6d70 6f72 6172 7920 6661 -3] Temporary fa\n 00010330: 696c 7572 6520 696e 206e 616d 6520 7265 ilure in name re\n 00010340: 736f 6c75 7469 6f6e 2926 2333 343b 2929 solution)"))\n 00010350: 0a3c 2f70 7265 3e3c 2f64 6976 3e3c 2f64 .
205 raise NameResolutionError(self.host, self, e) from e\n 206 except SocketTimeout as e:\n \n NameResolutionError: [3]:\n <xarray.Dataset> Size: 41kB\n Dimensions: (time: 731, location: 3)\n Coordinates:\n * time (time) datetime64[ns] 6kB 2000-01-01 2000-01-02 ... 2001-12-31\n * location (location) <U2 24B 'IA' 'IN' 'IL'\n Data variables:\n tmin (time, location) float64 18kB -8.037 -1.788 ... -1.346 -4.544\n- tmax (time, location) float64 18kB 12.98 3.31 6.779 ... 3.343 3.805
location
PandasIndex
PandasIndex(Index(['IA', 'IN', 'IL'], dtype='object', name='location'))
Examine a dataset with pandas and seaborn#
\nConvert to a pandas DataFrame#
\n\n \n
\n \n [3]:\n@@ -1120,15 +1120,15 @@\n \n \n \n
\n [6]:\n \n
\n \n-<seaborn.axisgrid.PairGrid at 0xffff599127b0>\n+<seaborn.axisgrid.PairGrid at 0xffff638127b0>\n \n
\n
\n \n ![\"../_images/examples_weather-data_10_1.png\"](\"../_images/examples_weather-data_10_1.png\")
\n@@ -1533,26 +1533,26 @@\n [0. , 0. , 0. ],\n [0. , 0. , 0. ],\n [0. , 0.01612903, 0. ],\n [0.33333333, 0.35 , 0.23333333],\n [0.93548387, 0.85483871, 0.82258065]])\n Coordinates:\n * location (location) <U2 24B 'IA' 'IN' 'IL'\n- * month (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12
\n@@ -1533,26 +1533,26 @@\n [0. , 0. , 0. ],\n [0. , 0. , 0. ],\n [0. , 0.01612903, 0. ],\n [0.33333333, 0.35 , 0.23333333],\n [0.93548387, 0.85483871, 0.82258065]])\n Coordinates:\n * location (location) <U2 24B 'IA' 'IN' 'IL'\n- * month (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12- location(location)<U2'IA' 'IN' 'IL'
array(['IA', 'IN', 'IL'], dtype='<U2')
- month(month)int641 2 3 4 5 6 7 8 9 10 11 12
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
- locationPandasIndex
PandasIndex(Index(['IA', 'IN', 'IL'], dtype='object', name='location'))
- monthPandasIndex
PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype='int64', name='month'))
\n \n \n \n@@ -2065,18 +2065,18 @@\n Dimensions: (time: 731, location: 3)\n Coordinates:\n * time (time) datetime64[ns] 6kB 2000-01-01 2000-01-02 ... 2001-12-31\n * location (location) <U2 24B 'IA' 'IN' 'IL'\n month (time) int64 6kB 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12\n Data variables:\n some_missing (time, location) float64 18kB nan nan nan ... -1.346 -4.544\n- filled (time, location) float64 18kB -5.163 -4.216 ... -1.346 -4.544
\n \n [8]:\n freeze.to_pandas().plot()\n location
PandasIndex
PandasIndex(Index(['IA', 'IN', 'IL'], dtype='object', name='location'))
\n \n \n \"\n ],\n \"text/plain\": [\n \" Size: 41kB\\n\",\n \"Dimensions: (time: 731, location: 3)\\n\",\n \"Coordinates:\\n\",\n \" * time (time) datetime64[ns] 6kB 2000-01-01 2000-01-02 ... 2001-12-31\\n\",\n \" * location (location) \\n\",\n@@ -609,18 +609,18 @@\n \"execution_count\": 4,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:47:32.682065Z\",\n \"start_time\": \"2020-01-27T15:47:32.652629Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:38.874906Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:38.874638Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:38.895445Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:38.893868Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:16.434501Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:16.434257Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:16.452270Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:16.451650Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \" Size: 288B\\n\",\n \"array([[0.9516129 , 0.88709677, 0.93548387],\\n\",\n \" [0.84210526, 0.71929825, 0.77192982],\\n\",\n \" [0.24193548, 0.12903226, 0.16129032],\\n\",\n \" [0. , 0. , 0. ],\\n\",\n@@ -1265,18 +1265,18 @@\n \"execution_count\": 8,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:48:13.131247Z\",\n \"start_time\": \"2020-01-27T15:48:12.924985Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:39.739189Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:39.738897Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:39.952846Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:39.952047Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:17.289613Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:17.289357Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:17.437300Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:17.436706Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n@@ -1313,18 +1313,18 @@\n \"execution_count\": 9,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:48:08.498259Z\",\n \"start_time\": \"2020-01-27T15:48:08.210890Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:39.956919Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:39.956581Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:40.177810Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:40.176444Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:17.440066Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:17.439803Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:17.653724Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:17.653123Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n@@ -1378,18 +1378,18 @@\n \"execution_count\": 10,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:49:34.855086Z\",\n \"start_time\": \"2020-01-27T15:49:34.406439Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:40.181296Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:40.180760Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:40.474533Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:40.473252Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:17.656441Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:17.656160Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:17.900055Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:17.899266Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n@@ -1437,18 +1437,18 @@\n \"execution_count\": 11,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:50:09.144586Z\",\n \"start_time\": \"2020-01-27T15:50:08.734682Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:40.477778Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:40.477237Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:40.827893Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:40.826405Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:17.903378Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:17.903101Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:18.199338Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:18.198757Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n@@ -1506,18 +1506,18 @@\n \"execution_count\": 12,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:51:40.279299Z\",\n \"start_time\": \"2020-01-27T15:51:40.220342Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:40.833389Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:40.832372Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:40.917315Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:40.916313Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:18.202091Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:18.201822Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:18.246046Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:18.245384Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \" \"\n ],\n \"text/plain\": [\n \" Size: 47kB\\n\",\n \"Dimensions: (time: 731, location: 3)\\n\",\n \"Coordinates:\\n\",\n \" * time (time) datetime64[ns] 6kB 2000-01-01 2000-01-02 ... 2001-12-31\\n\",\n \" * location (location) \\n\",\n@@ -2088,18 +2088,18 @@\n \"execution_count\": 14,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:52:14.867866Z\",\n \"start_time\": \"2020-01-27T15:52:14.449684Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:40.937997Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:40.937654Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:41.208565Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:41.207740Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:18.263566Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:18.263304Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:18.536051Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:18.535493Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n"}]}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/getting-started-guide/quick-overview.html", "source2": "./usr/share/doc/python-xarray-doc/html/getting-started-guide/quick-overview.html", "unified_diff": "@@ -859,20 +859,20 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
\n+Dimensions without coordinates: y\n \n [13]:\n df = both.sel(time="2000").mean("location").reset_coords(drop=True).to_dataframe()\n df.head()\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -179,15 +179,15 @@\n [5]:\n \n [../_images/examples_weather-data_8_1.png]\n *\b**\b**\b**\b* V\bVi\bis\bsu\bua\bal\bli\biz\bze\be u\bus\bsi\bin\bng\bg s\bse\bea\bab\bbo\bor\brn\bn_\b#\b# *\b**\b**\b**\b*\n [6]:\n sns.pairplot(df.reset_index(), vars=ds.data_vars)\n [6]:\n-\n+\n [../_images/examples_weather-data_10_1.png]\n *\b**\b**\b**\b**\b* P\bPr\bro\bob\bba\bab\bbi\bil\bli\bit\bty\by o\bof\bf f\bfr\bre\bee\bez\bze\be b\bby\by c\bca\bal\ble\ben\bnd\bda\bar\br m\bmo\bon\bnt\bth\bh_\b#\b# *\b**\b**\b**\b**\b*\n [7]:\n freeze = (ds[\"tmin\"] <= 0).groupby(\"time.month\").mean(\"time\")\n freeze\n [7]:\n Size: 288B\n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/examples/weather-data.ipynb.gz", "source2": "./usr/share/doc/python-xarray-doc/html/examples/weather-data.ipynb.gz", "unified_diff": null, "details": [{"source1": "weather-data.ipynb", "source2": "weather-data.ipynb", "unified_diff": null, "details": [{"source1": "Pretty-printed", "source2": "Pretty-printed", "comments": ["Similarity: 0.9991481366900354%", "Differences: {\"'cells'\": \"{1: {'metadata': {'execution': {'iopub.execute_input': '2026-07-01T07:46:14.823024Z', \"", " \"'iopub.status.busy': '2026-07-01T07:46:14.822722Z', 'iopub.status.idle': \"", " \"'2026-07-01T07:46:16.122353Z', 'shell.execute_reply': \"", " \"'2026-07-01T07:46:16.121743Z'}}}, 2: {'metadata': {'execution': \"", " \"{'iopub.execute_input': '2026-07-01T07:46:16.125811Z', 'iopub.status.busy': \"", " \"'2026-07-01T07:46:16.125298Z', 'iopub.status.idle': '2026-07-01T07:46:1 [\u2026]"], "unified_diff": "@@ -11,18 +11,18 @@\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:37.069086Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:37.067994Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:38.572341Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:38.571641Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:14.823024Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:14.822722Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:16.122353Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:16.121743Z\"\n }\n },\n \"outputs\": [],\n \"source\": [\n \"import numpy as np\\n\",\n \"import pandas as pd\\n\",\n \"import seaborn as sns\\n\",\n@@ -36,18 +36,18 @@\n \"execution_count\": 2,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:43:36.127628Z\",\n \"start_time\": \"2020-01-27T15:43:36.081733Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:38.576842Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:38.576361Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:38.852958Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:38.852079Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:16.125811Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:16.125298Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:16.410878Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:16.409738Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \" \\n\",\n@@ -723,18 +723,18 @@\n \"execution_count\": 5,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:47:34.617042Z\",\n \"start_time\": \"2020-01-27T15:47:34.282605Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:38.899005Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:38.898735Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:39.107119Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:39.106217Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:16.454796Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:16.454539Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:16.677020Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:16.676341Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"\"\n@@ -771,25 +771,25 @@\n \"execution_count\": 6,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:47:37.643175Z\",\n \"start_time\": \"2020-01-27T15:47:37.202479Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:39.110610Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:39.110339Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:39.714029Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:39.713199Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:16.679819Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:16.679546Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:17.264995Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:17.264365Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n- \"\"\n+ \"\"\n ]\n },\n \"execution_count\": 6,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n },\n {\n@@ -819,18 +819,18 @@\n \"execution_count\": 7,\n \"metadata\": {\n \"ExecuteTime\": {\n \"end_time\": \"2020-01-27T15:48:11.241224Z\",\n \"start_time\": \"2020-01-27T15:48:11.211156Z\"\n },\n \"execution\": {\n- \"iopub.execute_input\": \"2025-05-29T01:00:39.717462Z\",\n- \"iopub.status.busy\": \"2025-05-29T01:00:39.717167Z\",\n- \"iopub.status.idle\": \"2025-05-29T01:00:39.735935Z\",\n- \"shell.execute_reply\": \"2025-05-29T01:00:39.735040Z\"\n+ \"iopub.execute_input\": \"2026-07-01T07:46:17.267990Z\",\n+ \"iopub.status.busy\": \"2026-07-01T07:46:17.267720Z\",\n+ \"iopub.status.idle\": \"2026-07-01T07:46:17.286829Z\",\n+ \"shell.execute_reply\": \"2026-07-01T07:46:17.286212Z\"\n }\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"
\"\n ],\n \"text/plain\": [\n \"<xarray.DataArray (x: 2, y: 3)> Size: 48B\n-array([[-0.03472391, -1.5768097 , 0.7704733 ],\n- [ 2.30117249, -0.21052527, -0.75027844]])\n+array([[-0.39555796, -0.06389353, -0.07531092],\n+ [-1.16156351, -0.28566959, -0.55678108]])\n Coordinates:\n * x (x) int64 16B 10 20\n-Dimensions without coordinates: y
In this case, we have generated a 2D array, assigned the names x and y to the two dimensions respectively and associated two coordinate labels \u201810\u2019 and \u201820\u2019 with the two locations along the x dimension. If you supply a pandas Series or DataFrame, metadata is copied directly:
\n
\n+ * dim_0 (dim_0) object 24B 'a' 'b' 'c'\n \n \n \n \n@@ -1247,15 +1247,15 @@\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
xr.DataArray(pd.Series(range(3), index=list("abc"), name="foo"))\n <xarray.DataArray 'foo' (dim_0: 3)> Size: 24B\n array([0, 1, 2])\n Coordinates:\n- * dim_0 (dim_0) object 24B 'a' 'b' 'c'
Here are the key properties for a DataArray:
\n
\n \n \n
\n+Dimensions without coordinates: y# like in pandas, values is a numpy array that you can modify in-place\n data.values\n data.dims\n@@ -1659,18 +1659,18 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n <xarray.DataArray (y: 3)> Size: 24B\n-array([-0.03472391, -1.5768097 , 0.7704733 ])\n+array([-0.39555796, -0.06389353, -0.07531092])\n Coordinates:\n x int64 8B 10\n-Dimensions without coordinates: y
Unlike positional indexing, label-based indexing frees us from having to know how our array is organized. All we need to know are the dimension name and the label we wish to index i.e. data.sel(x=10) works regardless of whether x is the first or second dimension of the array and regardless of whether 10 is the first or second element of x. We have already told xarray that x is the first dimension when we created data: xarray keeps track of this so we don\u2019t have to. For more, see Indexing and selecting data.
Attributes#
\nWhile you\u2019re setting up your DataArray, it\u2019s often a good idea to set metadata attributes. A useful choice is to set data.attrs['long_name'] and data.attrs['units'] since xarray will use these, if present, to automatically label your plots. These special names were chosen following the NetCDF Climate and Forecast (CF) Metadata Conventions. attrs is just a Python dictionary, so you can assign anything you wish.
\n@@ -2070,15 +2070,15 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
\n+array(-2.53877659)\n \n <xarray.DataArray ()> Size: 8B\n-array(0.49930847)
However, aggregation operations can use dimension names instead of axis\n numbers:
\n\n
\n+array([-0.77856074, -0.17478156, -0.316046 ])\n+Dimensions without coordinates: y\n \n \n \n@@ -2452,16 +2452,16 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
data.mean(dim="x")\n <xarray.DataArray (y: 3)> Size: 24B\n-array([ 1.13322429, -0.89366748, 0.01009743])\n-Dimensions without coordinates: yArithmetic operations broadcast based on dimension name. This means you don\u2019t\n need to insert dummy dimensions for alignment:
\n\n
\n \n \n
\n+Dimensions without coordinates: za = xr.DataArray(np.random.randn(3), [data.coords["y"]])\n b = xr.DataArray(np.random.randn(4), dims="z")\n@@ -2841,22 +2841,22 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n <xarray.DataArray (y: 3, z: 4)> Size: 96B\n-array([[ 1.85767422, 0.65598137, 0.94389709, -0.54466433],\n- [ 0.75543711, -0.44625574, -0.15834003, -1.64690144],\n- [-0.50438417, -1.70607701, -1.4181613 , -2.90672271]])\n+array([[ 1.53615732, -0.44012561, 0.79586337, 2.01652325],\n+ [-0.83157188, -2.80785481, -1.57186584, -0.35120595],\n+ [ 0.14198024, -1.83430268, -0.59831371, 0.62234618]])\n Coordinates:\n * y (y) int64 24B 0 1 2\n-Dimensions without coordinates: z
It also means that in most cases you do not need to worry about the order of\n dimensions:
\n\n
\n+Dimensions without coordinates: y\n \n \n \n@@ -3234,16 +3234,16 @@\n fill: currentColor;\n }\n
data - data.T\n <xarray.DataArray (x: 2, y: 3)> Size: 48B\n array([[0., 0., 0.],\n [0., 0., 0.]])\n Coordinates:\n * x (x) int64 16B 10 20\n-Dimensions without coordinates: yOperations also align based on index labels:
\n\n
\n+Dimensions without coordinates: y\n \n \n \n \n@@ -3619,15 +3619,15 @@\n stroke: currentColor;\n fill: currentColor;\n }\n
data[:-1] - data[:1]\n <xarray.DataArray (x: 1, y: 3)> Size: 24B\n array([[0., 0., 0.]])\n Coordinates:\n * x (x) int64 8B 10\n-Dimensions without coordinates: y
For more, see Computation.
\nGroupBy#
\nXarray supports grouped operations using a very similar API to pandas (see GroupBy: Group and Bin Data):
\n\n@@ -4007,33 +4007,33 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
\n+Dimensions without coordinates: y\n \n <xarray.DataArray (x: 2, y: 3)> Size: 48B\n-array([[0.71555453, 0. , 1.52075174],\n- [3.05145094, 1.36628443, 0. ]])\n+array([[0.76600555, 0.22177606, 1.08625259],\n+ [0. , 0. , 0.60478243]])\n Coordinates:\n * x (x) int64 16B 10 20\n-Dimensions without coordinates: y
Plotting#
\nVisualizing your datasets is quick and convenient:
\n\n
\n+ * y (y) int64 24B 0 1 2\n \n \n \n \n
\n data.plot()\n \n-\n \n
<matplotlib.collections.QuadMesh at 0xffff6a5196a0>\n+<matplotlib.collections.QuadMesh at 0xffff6b8f56a0>\n
\n \n ![\"../_images/quick-overview_12_1.png\"](\"../_images/quick-overview_12_1.png\")
\n Note the automatic labeling with names and units. Our effort in adding metadata attributes has paid off! Many aspects of these figures are customizable: see Plotting.
\n \n@@ -4418,20 +4418,20 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n<xarray.DataArray (x: 2, y: 3)> Size: 48B\n-array([[-0.03472391, -1.5768097 , 0.7704733 ],\n- [ 2.30117249, -0.21052527, -0.75027844]])\n+array([[-0.39555796, -0.06389353, -0.07531092],\n+ [-1.16156351, -0.28566959, -0.55678108]])\n Coordinates:\n * x (x) int64 16B 10 20\n- * y (y) int64 24B 0 1 2
Datasets#
\nxarray.Dataset is a dict-like container of aligned DataArray\n objects. You can think of it as a multi-dimensional generalization of the\n pandas.DataFrame:
<xarray.Dataset> Size: 88B\n Dimensions: (x: 2, y: 3)\n Coordinates:\n * x (x) int64 16B 10 20\n Dimensions without coordinates: y\n Data variables:\n- foo (x, y) float64 48B -0.03472 -1.577 0.7705 2.301 -0.2105 -0.7503\n+ foo (x, y) float64 48B -0.3956 -0.06389 -0.07531 -1.162 -0.2857 -0.5568\n bar (x) int64 16B 1 2\n- baz float64 8B 3.142\n+ baz float64 8B 3.142\n \n
This creates a dataset with three DataArrays named foo, bar and baz. Use dictionary or dot indexing to pull out Dataset variables as DataArray objects but note that assignment only works with dictionary indexing:
\n
\n+ random_attribute: 123\n \n \n \n@@ -5200,25 +5200,25 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
ds["foo"]\n ds.foo\n <xarray.DataArray 'foo' (x: 2, y: 3)> Size: 48B\n-array([[-0.03472391, -1.5768097 , 0.7704733 ],\n- [ 2.30117249, -0.21052527, -0.75027844]])\n+array([[-0.39555796, -0.06389353, -0.07531092],\n+ [-1.16156351, -0.28566959, -0.55678108]])\n Coordinates:\n * x (x) int64 16B 10 20\n Dimensions without coordinates: y\n Attributes:\n long_name: random velocity\n units: metres/sec\n description: A random variable created as an example.\n- random_attribute: 123When creating ds, we specified that foo is identical to data created earlier, bar is one-dimensional with single dimension x and associated values \u20181\u2019 and \u20182\u2019, and baz is a scalar not associated with any dimension in ds. Variables in datasets can have different dtype and even different dimensions, but all dimensions are assumed to refer to points in the same shared coordinate system i.e. if two variables have dimension x, that dimension must be identical in both variables.
For example, when creating ds xarray automatically aligns bar with DataArray foo, i.e., they share the same coordinate system so that ds.bar['x'] == ds.foo['x'] == ds['x']. Consequently, the following works without explicitly specifying the coordinate x when creating ds['bar']:
\n
\n+ x int64 8B 10\n \n \n \n@@ -5594,15 +5594,15 @@\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
ds.bar.sel(x=10)\n <xarray.DataArray 'bar' ()> Size: 8B\n array(1)\n Coordinates:\n- x int64 8B 10You can do almost everything you can do with DataArray objects with\n Dataset objects (including indexing and arithmetic) if you prefer to work\n with multiple variables at once.
Read & write netCDF files#
\n@@ -5994,15 +5994,15 @@\n Dimensions: (x: 2, y: 3)\n Coordinates:\n * x (x) int64 16B 10 20\n Dimensions without coordinates: y\n Data variables:\n foo (x, y) float64 48B ...\n bar (x) int64 16B ...\n- baz float64 8B ...\n+ baz float64 8B ...\n \n\n
\n \n
\n It is common for datasets to be distributed across multiple files (commonly one file per timestep). Xarray supports this use-case by providing the open_mfdataset() and the save_mfdataset() methods. For more, see Reading and writing files.
<xarray.Dataset> Size: 76B\n Dimensions: (people: 2)\n Coordinates:\n * people (people) <U5 40B 'alice' 'bob'\n species <U5 20B 'human'\n Data variables:\n- heights (people) float64 16B 1.57 1.82\n+ heights (people) float64 16B 1.57 1.82\n \n
Now we\u2019ll put these datasets into a hierarchical DataTree:
\n\n
\n \n \n
dt = xr.DataTree.from_dict(\n {"simulation/coarse": ds, "simulation/fine": ds2, "/": ds3}\n )\n@@ -6792,15 +6792,15 @@\n }\n <xarray.DatasetView> Size: 76B\n Dimensions: (people: 2)\n Coordinates:\n * people (people) <U5 40B 'alice' 'bob'\n species <U5 20B 'human'\n Data variables:\n- heights (people) float64 16B 1.57 1.82
- people: 2
- people(people)<U5'alice' 'bob'
array(['alice', 'bob'], dtype='<U5')
- species()<U5'human'
array('human', dtype='<U5')
- heights(people)float641.57 1.82
array([1.57, 1.82])
This created a DataTree with nested groups. We have one root group, containing information about individual\n people. This root group can be named, but here it is unnamed, and is referenced with "/". This structure is similar to a\n unix-like filesystem. The root group then has one subgroup simulation, which contains no data itself but does\n contain another two subgroups, named fine and coarse.
The (sub)subgroups fine and coarse contain two very similar datasets. They both have an "x"\n dimension, but the dimension is of different lengths in each group, which makes the data in each group\n@@ -8330,20 +8330,20 @@\n width: 1em;\n height: 1.5em !important;\n stroke-width: 0;\n stroke: currentColor;\n fill: currentColor;\n }\n
<xarray.DataArray 'foo' (x: 2, y: 3)> Size: 48B\n-array([[ 0.17251323, -0.3613965 , -0.29516589],\n- [-0.75645657, -0.55859267, -0.34698097]])\n+array([[-0.15091835, 2.06359529, -0.70393943],\n+ [ 1.10779536, -0.74490688, -0.35659677]])\n Coordinates:\n * x (x) int64 16B 10 20\n-Dimensions without coordinates: y\n+Dimensions without coordinates: y\n \n
We can also view the data in a particular group as a read-only DatasetView using xarray.Datatree.dataset:
\n
\n+ baz float64 8B 3.142\n \n \n \n \n@@ -8722,18 +8722,18 @@\n
dt["simulation/coarse"].dataset\n <xarray.DatasetView> Size: 128B\n Dimensions: (x: 2, y: 3, people: 2)\n Coordinates:\n * people (people) <U5 40B 'alice' 'bob'\n * x (x) int64 16B 10 20\n Dimensions without coordinates: y\n Data variables:\n- foo (x, y) float64 48B 0.1725 -0.3614 -0.2952 -0.7565 -0.5586 -0.347\n+ foo (x, y) float64 48B -0.1509 2.064 -0.7039 1.108 -0.7449 -0.3566\n bar (x) int64 16B 1 2\n- baz float64 8B 3.142
We can get a copy of the Dataset including the inherited coordinates by calling the to_dataset method:
\n
\n+ baz float64 8B 3.142\n \n \n \n@@ -9113,18 +9113,18 @@\n
ds_inherited = dt["simulation/coarse"].to_dataset()\n ds_inherited\n <xarray.Dataset> Size: 128B\n Dimensions: (x: 2, y: 3, people: 2)\n Coordinates:\n * people (people) <U5 40B 'alice' 'bob'\n * x (x) int64 16B 10 20\n Dimensions without coordinates: y\n Data variables:\n- foo (x, y) float64 48B 0.1725 -0.3614 -0.2952 -0.7565 -0.5586 -0.347\n+ foo (x, y) float64 48B -0.1509 2.064 -0.7039 1.108 -0.7449 -0.3566\n bar (x) int64 16B 1 2\n- baz float64 8B 3.142And you can get a copy of just the node local values of Dataset by setting the inherit keyword to False:
\n
\n+ baz float64 8B 3.142\n \n \n \n@@ -9503,18 +9503,18 @@\n }\n
ds_node_local = dt["simulation/coarse"].to_dataset(inherit=False)\n ds_node_local\n <xarray.Dataset> Size: 88B\n Dimensions: (x: 2, y: 3)\n Coordinates:\n * x (x) int64 16B 10 20\n Dimensions without coordinates: y\n Data variables:\n- foo (x, y) float64 48B 0.1725 -0.3614 -0.2952 -0.7565 -0.5586 -0.347\n+ foo (x, y) float64 48B -0.1509 2.064 -0.7039 1.108 -0.7449 -0.3566\n bar (x) int64 16B 1 2\n- baz float64 8B 3.142\n
\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -39,26 +39,26 @@\n *\b**\b**\b**\b**\b* C\bCr\bre\bea\bat\bte\be a\ba D\bDa\bat\bta\baA\bAr\brr\bra\bay\by_\b#\b# *\b**\b**\b**\b**\b*\n You can make a DataArray from scratch by supplying data in the form of a numpy\n array or list, with optional d\bdi\bim\bme\ben\bns\bsi\bio\bon\bns\bs and c\bco\boo\bor\brd\bdi\bin\bna\bat\bte\bes\bs:\n data = xr.DataArray(np.random.randn(2, 3), dims=(\"x\", \"y\"), coords={\"x\": [10,\n 20]})\n data\n Note
\nWe intend to eventually implement most Dataset methods\n (indexing, aggregation, arithmetic, etc) on DataTree\n objects, but many methods have not been implemented yet.
apply_ufunc\", \"Compare weighted and unweighted mean temperature\", \"Blank template\", \"Calculating Seasonal Averages from Time Series of Monthly Means\", \"Working with Multidimensional Coordinates\", \"Visualization Gallery\", \"Toy weather data\", \"Gallery\", \"Frequently Asked Questions\", \"Getting Help\", \"How do I \\u2026\", \"Social Media\", \"Getting Started\", \"Installation\", \"Quick overview\", \"Tutorials and Videos\", \"Overview: Why xarray?\", \"Xarray documentation\", \"Alternative chunked array types\", \"Integrating with duck arrays\", \"Extending xarray using accessors\", \"How to add a new backend\", \"How to create a custom index\", \"Xarray Internals\", \"Internal Design\", \"Interoperability of Xarray\", \"Time Coding\", \"Zarr Encoding Specification\", \"Development roadmap\", \"Combining data\", \"Computation\", \"Parallel Computing with Dask\", \"Data Structures\", \"Working with numpy-like arrays\", \"Xarray related projects\", \"GroupBy: Group and Bin Data\", \"Hierarchical data\", \"User Guide\", \"Indexing and selecting data\", \"Interpolating data\", \"Reading and writing files\", \"Configuration\", \"Working with pandas\", \"Plotting\", \"Reshaping and reorganizing data\", \"Terminology\", \"Testing your code\", \"Time series data\", \"Weather and climate data\", \"What\\u2019s New\"],\n \"titleterms\": {\n \"\": [13, 16, 57],\n \"0\": 57,\n \"01\": 57,\n \"02\": 57,\n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/user-guide/data-structures.html", "source2": "./usr/share/doc/python-xarray-doc/html/user-guide/data-structures.html", "unified_diff": "@@ -1176,18 +1176,18 @@\n a method call with an external function (e.g., ds.pipe(func)) instead of\n simply calling it (e.g., func(ds)). This allows you to write pipelines for\n transforming your data (using \u201cmethod chaining\u201d) instead of writing hard to\n follow nested function calls:\n # these lines are equivalent, but with pipe we can make the logic flow\n # entirely from left to right\n In [64]: plt.plot((2 * ds.temperature.sel(loc=0)).mean("instrument"))\n-Out[64]: [<matplotlib.lines.Line2D at 0xffff5242c910>]\n+Out[64]: [<matplotlib.lines.Line2D at 0xffff635007d0>]\n \n In [65]: (ds.temperature.sel(loc=0).pipe(lambda x: 2 * x).mean("instrument").pipe(plt.plot))\n-Out[65]: [<matplotlib.lines.Line2D at 0xffff5242e350>]\n+Out[65]: [<matplotlib.lines.Line2D at 0xffff63502210>]\n Both pipe and assign replicate the pandas methods of the same names\n (DataFrame.pipe and\n DataFrame.assign).
With xarray, there is no performance penalty for creating new datasets, even if\n variables are lazily loaded from a file on disk. Creating new objects instead\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -638,19 +638,19 @@\n There is also the pipe() method that allows you to use a method call with an\n external function (e.g., ds.pipe(func)) instead of simply calling it (e.g.,\n func(ds)). This allows you to write pipelines for transforming your data (using\n \u201cmethod chaining\u201d) instead of writing hard to follow nested function calls:\n # these lines are equivalent, but with pipe we can make the logic flow\n # entirely from left to right\n In [64]: plt.plot((2 * ds.temperature.sel(loc=0)).mean(\"instrument\"))\n-Out[64]: [ If you were a previous user of the prototype xarray-contrib/datatree package, this is different from what you\u2019re used to!\n In that package the data model was that the data stored in each node actually was completely unrelated. The data model is now slightly stricter.\n This allows us to provide features like Coordinate Inheritance. To demonstrate, let\u2019s first generate some example datasets which are not aligned with one another: To select and assign values to a portion of a You can also assign values to all variables of a Additional keyword arguments can be passed to scipy\u2019s functions. Let\u2019s see how (The suffix It is possible to read and write xarray datasets directly from / to cloud\n@@ -1169,36 +1169,36 @@\n \n In [18]: ds = xr.Dataset({"foo": ("x", dummies)}, coords={"x": np.arange(30)})\n \n In [19]: path = "path/to/directory.zarr"\n \n # Now we write the metadata without computing any array values\n In [20]: ds.to_zarr(path, compute=False)\n-Out[20]: Delayed('_finalize_store-1a1b0778-a7e4-4723-9644-d12826db7c67')\n+Out[20]: Delayed('_finalize_store-04ef47f9-29c6-4e16-98f0-a12e7e4b8a33')\n Now, a Zarr store with the correct variable shapes and attributes exists that\n can be filled out by subsequent calls to Concurrent writes with As a safety check to make it harder to inadvertently override existing values,\n if you set Chunk sizes may be specified in one of three ways when writing to a zarr store: For example, let\u2019s say we\u2019re working with a dataset with dimensions\n These multi-dimensional coordinates are only two-dimensional and take up very little\n space on disk or in memory, yet when writing to disk the default zarr behavior is to\n split them into chunks: Ncdata provides more sophisticated means of transferring data, including entire\n datasets. It uses the file saving and loading functions in both projects to provide a\n more \u201ccorrect\u201d translation between them, but still with very low overhead and not\n using actual disk files. For example: For these examples we\u2019ll use the North American air temperature dataset. Same plot can be displayed using the dataset: Now suppose we want to scatter the The You can force a legend instead of a colorbar by setting The The Faceting is also possible And adding the z-axis For more advanced scatter plots, we recommend converting the relevant data variables\n to a pandas DataFrame and using the extensive plotting capabilities of \n \n \n # (drop the attributes just to make the printed representation shorter)\n In [89]: ds = xr.tutorial.open_dataset("air_temperature").drop_attrs()\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff52b70690>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff63c5c550>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [90]: ds_daily = ds.resample(time="D").mean("time")\n KeyError: "No variable named 'time'. Variables on the dataset include ['foo', 'x', 'letters']"\n \n \n In [91]: ds_weekly = ds.resample(time="W").mean("time")\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -924,15 +924,15 @@\n To demonstrate, let\u2019s first generate some example datasets which are not\n aligned with one another:\n # (drop the attributes just to make the printed representation shorter)\n In [89]: ds = xr.tutorial.open_dataset(\"air_temperature\").drop_attrs()\n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\"
\n \n \n In [52]: ds = xr.tutorial.open_dataset("air_temperature")\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff52b716d0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff63c5d590>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n # Define target latitude and longitude (where weather stations might be)\n In [53]: target_lon = xr.DataArray([200, 201, 202, 205], dims="points")\n \n In [54]: target_lat = xr.DataArray([31, 41, 42, 42], dims="points")\n \n@@ -1143,15 +1143,15 @@\n
Assigning values with indexing#
\n DataArray() you\n can use indexing with .loc :\n \n In [57]: ds = xr.tutorial.open_dataset("air_temperature")\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff52b702d0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff63c5c190>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n # add an empty 2D dataarray\n In [58]: ds["empty"] = xr.full_like(ds.air.mean("time"), fill_value=0)\n AttributeError: 'Dataset' object has no attribute 'air'\n \n \n@@ -1315,15 +1315,15 @@\n
Dataset at once:\n \n In [83]: ds_org = xr.tutorial.open_dataset("eraint_uvz").isel(\n ....: latitude=slice(56, 59), longitude=slice(255, 258), level=0\n ....: )\n ....: \n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/eraint_uvz.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff52b702d0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/eraint_uvz.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff63c5c190>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n # set all values to 0\n In [84]: ds = xr.zeros_like(ds_org)\n NameError: name 'ds_org' is not defined\n \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -529,15 +529,15 @@\n with a new shared output dimension name. In the example below, the selections\n of the closest latitude and longitude are renamed to an output dimension named\n \u201cpoints\u201d:\n In [52]: ds = xr.tutorial.open_dataset(\"air_temperature\")\n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\"
![\"../_images/interpolation_sample1.png\"](\"../_images/interpolation_sample1.png\")
\n \n \n \n # fill 0 for the outside of the original coordinates.\n In [21]: da.interp(x=np.linspace(-0.5, 1.5, 10), kwargs={"fill_value": 0.0})\n@@ -884,15 +884,15 @@\n see Missing values.\n \n
Example#
\n interp() works on real data.\n \n # Raw data\n In [44]: ds = xr.tutorial.open_dataset("air_temperature").isel(time=0)\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff529f2fd0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff63ac6e90>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [45]: fig, axes = plt.subplots(ncols=2, figsize=(10, 4))\n \n In [46]: ds.air.plot(ax=axes[0])\n AttributeError: 'Dataset' object has no attribute 'air'\n \n@@ -956,15 +956,15 @@\n ....: axes[0].plot(*xr.broadcast(lon.isel(z=idx), lat.isel(z=idx)), "--k")\n ....: \n \n In [61]: axes[0].set_title("Raw data")\n Out[61]: Text(0.5, 1.0, 'Raw data')\n \n In [62]: dsi = ds.interp(lon=lon, lat=lat)\n-ValueError: Dimensions {'lon', 'lat'} do not exist. Expected one or more of FrozenMappingWarningOnValuesAccess({'x': 3, 'y': 4})\n+ValueError: Dimensions {'lat', 'lon'} do not exist. Expected one or more of FrozenMappingWarningOnValuesAccess({'x': 3, 'y': 4})\n \n \n In [63]: dsi.air.plot(ax=axes[1])\n NameError: name 'dsi' is not defined\n \n \n In [64]: axes[1].set_title("Remapped data")\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -206,26 +206,26 @@\n ....: np.sin(np.linspace(0, 2 * np.pi, 10)),\n ....: dims=\"x\",\n ....: coords={\"x\": np.linspace(0, 1, 10)},\n ....: )\n ....:\n \n In [17]: da.plot.line(\"o\", label=\"original\")\n-Out[17]: [
.zarr is optional\u2013just a reminder that a zarr store lives\n there.) If the directory does not exist, it will be created. If a zarr\n store is already present at that path, an error will be raised, preventing it\n from being overwritten. To override this behavior and overwrite an existing\n store, add mode='w' when invoking to_zarr().\n \n In [14]: ds_zarr = xr.open_zarr("path/to/directory.zarr")\n \n In [15]: ds_zarr\n Out[15]: \n <xarray.Dataset> Size: 264B\n Dimensions: (x: 4, y: 5)\n Coordinates:\n- * x (x) int64 32B 10 20 30 40\n- * y (y) datetime64[ns] 40B 2000-01-01 2000-01-02 ... 2000-01-05\n z (x) object 32B dask.array<chunksize=(4,), meta=np.ndarray>\n+ * y (y) datetime64[ns] 40B 2000-01-01 2000-01-02 ... 2000-01-05\n+ * x (x) int64 32B 10 20 30 40\n Data variables:\n foo (x, y) float64 160B dask.array<chunksize=(4, 5), meta=np.ndarray>\n
Cloud Storage Buckets#
\n to_zarr.\n Setting region="auto" will open the existing store and determine the\n correct alignment of the new data with the existing dimensions, or as an\n explicit mapping from dimension names to Python slice objects indicating\n where the data should be written (in index space, not label space), e.g.,\n \n # For convenience, we'll slice a single dataset, but in the real use-case\n # we would create them separately possibly even from separate processes.\n In [21]: ds = xr.Dataset({"foo": ("x", np.arange(30))}, coords={"x": np.arange(30)})\n \n # Any of the following region specifications are valid\n In [22]: ds.isel(x=slice(0, 10)).to_zarr(path, region="auto")\n-Out[22]: <xarray.backends.zarr.ZarrStore at 0xffff515317e0>\n+Out[22]: <xarray.backends.zarr.ZarrStore at 0xffff62601120>\n \n In [23]: ds.isel(x=slice(10, 20)).to_zarr(path, region={"x": "auto"})\n-Out[23]: <xarray.backends.zarr.ZarrStore at 0xffff51531ab0>\n+Out[23]: <xarray.backends.zarr.ZarrStore at 0xffff62601630>\n \n In [24]: ds.isel(x=slice(20, 30)).to_zarr(path, region={"x": slice(20, 30)})\n-Out[24]: <xarray.backends.zarr.ZarrStore at 0xffff52077f40>\n+Out[24]: <xarray.backends.zarr.ZarrStore at 0xffff63143f40>\n
region are safe as long as they modify distinct\n chunks in the underlying Zarr arrays (or use an appropriate lock).region then all variables included in a Dataset must have\n dimensions included in region. Other variables (typically coordinates)\n@@ -1261,28 +1261,28 @@\n ....: "y": [1, 2, 3, 4, 5],\n ....: "t": pd.date_range("2001-01-01", periods=2),\n ....: },\n ....: )\n ....: \n \n In [30]: ds1.to_zarr("path/to/directory.zarr")\n-Out[30]: <xarray.backends.zarr.ZarrStore at 0xffff51533010>\n+Out[30]: <xarray.backends.zarr.ZarrStore at 0xffff62602ef0>\n \n In [31]: ds2 = xr.Dataset(\n ....: {"foo": (("x", "y", "t"), np.random.rand(4, 5, 2))},\n ....: coords={\n ....: "x": [10, 20, 30, 40],\n ....: "y": [1, 2, 3, 4, 5],\n ....: "t": pd.date_range("2001-01-03", periods=2),\n ....: },\n ....: )\n ....: \n \n In [32]: ds2.to_zarr("path/to/directory.zarr", append_dim="t")\n-Out[32]: <xarray.backends.zarr.ZarrStore at 0xffff51532f80>\n+Out[32]: <xarray.backends.zarr.ZarrStore at 0xffff62602dd0>\n Specifying chunks in a zarr store#
\n \n@@ -1306,15 +1306,15 @@\n positional ordering of the dimensions in each array. Watch out for arrays with\n differently-ordered dimensions within a single Dataset.\n
('time', 'x', 'y'), a variable Tair which is chunked in x and y,\n and two multi-dimensional coordinates xc and yc:\n \n In [33]: ds = xr.tutorial.open_dataset("rasm")\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff5156c690>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/rasm.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff6263c550>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [34]: ds["Tair"] = ds["Tair"].chunk({"x": 100, "y": 100})\n KeyError: "No variable named 'Tair'. Variables on the dataset include ['foo', 'x']"\n \n \n In [35]: ds\n@@ -1327,15 +1327,15 @@\n foo (x) int64 240B 0 1 2 3 4 5 6 7 8 9 ... 21 22 23 24 25 26 27 28 29\n
\n \n In [36]: ds.to_zarr("path/to/directory.zarr", mode="w")\n-Out[36]: <xarray.backends.zarr.ZarrStore at 0xffff51533b50>\n+Out[36]: <xarray.backends.zarr.ZarrStore at 0xffff626032e0>\n \n In [37]: ! ls -R path/to/directory.zarr\n path/to/directory.zarr:\n foo x\tzarr.json\n \n path/to/directory.zarr/foo:\n c zarr.json\n@@ -1526,15 +1526,15 @@\n
Ncdata#
\n \n \n In [48]: ds = xr.tutorial.open_dataset("air_temperature_gradient")\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature_gradient.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff5156c550>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature_gradient.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff6263dbd0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [49]: cubes = ncdata.iris_xarray.cubes_from_xarray(ds)\n NameError: name 'ncdata' is not defined\n \n \n In [50]: print(cubes)\n"}, {"source1": "./usr/share/doc/python-xarray-doc/html/user-guide/plotting.html", "source2": "./usr/share/doc/python-xarray-doc/html/user-guide/plotting.html", "unified_diff": "@@ -545,15 +545,15 @@\n In [3]: import matplotlib.pyplot as plt\n \n In [4]: import xarray as xr\n
\n \n In [5]: airtemps = xr.tutorial.open_dataset("air_temperature")\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff8fa951d0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff98b45310>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [6]: airtemps\n NameError: name 'airtemps' is not defined\n \n \n # Convert to celsius\n@@ -890,15 +890,15 @@\n \n # Apply a nonlinear transformation to one of the coords\n In [50]: b.coords["lat"] = np.log(b.coords["lat"])\n KeyError: 'lat'\n \n \n In [51]: b.plot()\n-Out[51]: [<matplotlib.lines.Line2D at 0xffff529f11d0>]\n+Out[51]: [<matplotlib.lines.Line2D at 0xffff63ac51d0>]\n
![\"../_images/plotting_nonuniform_coords.png\"](\"../_images/plotting_nonuniform_coords.png\")
\n \n \n Other types of plot#
\n@@ -1302,117 +1302,117 @@\n * y (y) float64 88B 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0\n * z (z) int64 32B 0 1 2 3\n * w (w) <U5 80B 'one' 'two' 'three' 'five'\n Attributes:\n units: Aunits\n \n In [99]: ds.A.plot.scatter(x="y")\n-Out[99]: <matplotlib.collections.PathCollection at 0xffff5152fe00>\n+Out[99]: <matplotlib.collections.PathCollection at 0xffff625fdfd0>\n ![\"../_images/da_A_y.png\"](\"../_images/da_A_y.png\")
\n \n \n In [100]: ds.plot.scatter(x="y", y="A")\n-Out[100]: <matplotlib.collections.PathCollection at 0xffff8f801bd0>\n+Out[100]: <matplotlib.collections.PathCollection at 0xffff63502710>\n
![\"../_images/ds_A_y.png\"](\"../_images/ds_A_y.png\")
\n A DataArray against the B DataArray\n \n In [101]: ds.plot.scatter(x="A", y="B")\n-Out[101]: <matplotlib.collections.PathCollection at 0xffff8fa96710>\n+Out[101]: <matplotlib.collections.PathCollection at 0xffff98b47610>\n
![\"../_images/ds_simple_scatter.png\"](\"../_images/ds_simple_scatter.png\")
\n hue kwarg lets you vary the color by variable value\n \n In [102]: ds.plot.scatter(x="A", y="B", hue="w")\n-Out[102]: <matplotlib.collections.PathCollection at 0xffff8f827ed0>\n+Out[102]: <matplotlib.collections.PathCollection at 0xffff988d7250>\n
![\"../_images/ds_hue_scatter.png\"](\"../_images/ds_hue_scatter.png\")
\n add_legend=True, add_colorbar=False.\n \n In [103]: ds.plot.scatter(x="A", y="B", hue="w", add_legend=True, add_colorbar=False)\n-Out[103]: <matplotlib.collections.PathCollection at 0xffff8fa95a90>\n+Out[103]: <matplotlib.collections.PathCollection at 0xffff988b2350>\n
![\"../_images/ds_discrete_legend_hue_scatter.png\"](\"../_images/ds_discrete_legend_hue_scatter.png\")
\n \n \n In [104]: ds.plot.scatter(x="A", y="B", hue="w", add_legend=False, add_colorbar=True)\n-Out[104]: <matplotlib.collections.PathCollection at 0xffff52065d10>\n+Out[104]: <matplotlib.collections.PathCollection at 0xffff6318b610>\n
![\"../_images/ds_discrete_colorbar_hue_scatter.png\"](\"../_images/ds_discrete_colorbar_hue_scatter.png\")
\n markersize kwarg lets you vary the point\u2019s size by variable value.\n You can additionally pass size_norm to control how the variable\u2019s values are mapped to point sizes.\n \n In [105]: ds.plot.scatter(x="A", y="B", hue="y", markersize="z")\n-Out[105]: <matplotlib.collections.PathCollection at 0xffff8f79f890>\n+Out[105]: <matplotlib.collections.PathCollection at 0xffff98852fd0>\n
![\"../_images/ds_hue_size_scatter.png\"](\"../_images/ds_hue_size_scatter.png\")
\n z kwarg lets you plot the data along the z-axis as well.\n \n In [106]: ds.plot.scatter(x="A", y="B", z="z", hue="y", markersize="x")\n-Out[106]: <mpl_toolkits.mplot3d.art3d.Path3DCollection at 0xffff8f62fed0>\n+Out[106]: <mpl_toolkits.mplot3d.art3d.Path3DCollection at 0xffff986c6710>\n
![\"../_images/ds_hue_size_scatter_z.png\"](\"../_images/ds_hue_size_scatter_z.png\")
\n \n \n In [107]: ds.plot.scatter(x="A", y="B", hue="y", markersize="x", row="x", col="w")\n-Out[107]: <xarray.plot.facetgrid.FacetGrid at 0xffff55e13e00>\n+Out[107]: <xarray.plot.facetgrid.FacetGrid at 0xffff63510050>\n
![\"../_images/ds_facet_scatter.png\"](\"../_images/ds_facet_scatter.png\")
\n \n \n In [108]: ds.plot.scatter(x="A", y="B", z="z", hue="y", markersize="x", row="x", col="w")\n-Out[108]: <xarray.plot.facetgrid.FacetGrid at 0xffff8f0a2e90>\n+Out[108]: <xarray.plot.facetgrid.FacetGrid at 0xffff9816a5d0>\n
![\"../_images/ds_facet_scatter_z.png\"](\"../_images/ds_facet_scatter_z.png\")
\n seaborn.
Quiver#
\nVisualizing vector fields is supported with quiver plots:
\nIn [109]: ds.isel(w=1, z=1).plot.quiver(x="x", y="y", u="A", v="B")\n-Out[109]: <matplotlib.quiver.Quiver at 0xffff55e13b60>\n+Out[109]: <matplotlib.quiver.Quiver at 0xffff67307620>\n ![\"../_images/ds_simple_quiver.png\"](\"../_images/ds_simple_quiver.png\")
\n where u and v denote the x and y direction components of the arrow vectors. Again, faceting is also possible:
In [110]: ds.plot.quiver(x="x", y="y", u="A", v="B", col="w", row="z", scale=4)\n-Out[110]: <xarray.plot.facetgrid.FacetGrid at 0xffff529f0690>\n+Out[110]: <xarray.plot.facetgrid.FacetGrid at 0xffff97d03610>\n ![\"../_images/ds_facet_quiver.png\"](\"../_images/ds_facet_quiver.png\")
\n scale is required for faceted quiver plots.\n The scale determines the number of data units per arrow length unit, i.e. a smaller scale parameter makes the arrow longer.
Streamplot#
\nVisualizing vector fields is also supported with streamline plots:
\nIn [111]: ds.isel(w=1, z=1).plot.streamplot(x="x", y="y", u="A", v="B")\n-Out[111]: <matplotlib.collections.LineCollection at 0xffff8e9525d0>\n+Out[111]: <matplotlib.collections.LineCollection at 0xffff979fa490>\n ![\"../_images/ds_simple_streamplot.png\"](\"../_images/ds_simple_streamplot.png\")
\n where u and v denote the x and y direction components of the vectors tangent to the streamlines.\n Again, faceting is also possible:
In [112]: ds.plot.streamplot(x="x", y="y", u="A", v="B", col="w", row="z")\n-Out[112]: <xarray.plot.facetgrid.FacetGrid at 0xffff52b94180>\n+Out[112]: <xarray.plot.facetgrid.FacetGrid at 0xffff63c64180>\n ![\"../_images/ds_facet_streamplot.png\"](\"../_images/ds_facet_streamplot.png\")
\n Maps#
\nTo follow this section you\u2019ll need to have Cartopy installed and working.
\nThis script will plot the air temperature on a map.
\nIn [113]: import cartopy.crs as ccrs\n \n In [114]: air = xr.tutorial.open_dataset("air_temperature").air\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff8e1fc550>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff972ac190>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [115]: p = air.isel(time=0).plot(\n .....: subplot_kws=dict(projection=ccrs.Orthographic(-80, 35), facecolor="gray"),\n .....: transform=ccrs.PlateCarree(),\n .....: )\n .....: \n@@ -1469,24 +1469,24 @@\n In [121]: import xarray.plot as xplt\n \n In [122]: da = xr.DataArray(range(5))\n \n In [123]: fig, axs = plt.subplots(ncols=2, nrows=2)\n \n In [124]: da.plot(ax=axs[0, 0])\n-Out[124]: [<matplotlib.lines.Line2D at 0xffff8ea04e10>]\n+Out[124]: [<matplotlib.lines.Line2D at 0xffff9756d950>]\n \n In [125]: da.plot.line(ax=axs[0, 1])\n-Out[125]: [<matplotlib.lines.Line2D at 0xffff8ea047d0>]\n+Out[125]: [<matplotlib.lines.Line2D at 0xffff9756da90>]\n \n In [126]: xplt.plot(da, ax=axs[1, 0])\n-Out[126]: [<matplotlib.lines.Line2D at 0xffff8ea04910>]\n+Out[126]: [<matplotlib.lines.Line2D at 0xffff9756dbd0>]\n \n In [127]: xplt.line(da, ax=axs[1, 1])\n-Out[127]: [<matplotlib.lines.Line2D at 0xffff8ea079d0>]\n+Out[127]: [<matplotlib.lines.Line2D at 0xffff9756dd10>]\n \n In [128]: plt.tight_layout()\n \n In [129]: plt.draw()\n
\n \n ![\"../_images/plotting_ways_to_use.png\"](\"../_images/plotting_ways_to_use.png\")
\n@@ -1537,15 +1537,15 @@\n The plot will produce an image corresponding to the values of the array.\n Hence the top left pixel will be a different color than the others.\n Before reading on, you may want to look at the coordinates and\n think carefully about what the limits, labels, and orientation for\n each of the axes should be.
\nIn [134]: a.plot()\n-Out[134]: <matplotlib.collections.QuadMesh at 0xffff8e051d10>\n+Out[134]: <matplotlib.collections.QuadMesh at 0xffff974b1590>\n ![\"../_images/plotting_example_2d_simple.png\"](\"../_images/plotting_example_2d_simple.png\")
\n \n It may seem strange that\n the values on the y axis are decreasing with -0.5 on the top. This is because\n the pixels are centered over their coordinates, and the\n@@ -1568,57 +1568,57 @@\n .....: np.arange(20).reshape(4, 5),\n .....: dims=["y", "x"],\n .....: coords={"lat": (("y", "x"), lat), "lon": (("y", "x"), lon)},\n .....: )\n .....: \n \n In [139]: da.plot.pcolormesh(x="lon", y="lat")\n-Out[139]: <matplotlib.collections.QuadMesh at 0xffff8e092850>\n+Out[139]: <matplotlib.collections.QuadMesh at 0xffff974b3110>\n
![\"../_images/plotting_example_2d_irreg.png\"](\"../_images/plotting_example_2d_irreg.png\")
\n \n Note that in this case, xarray still follows the pixel centered convention.\n This might be undesirable in some cases, for example when your data is defined\n on a polar projection (GH781). This is why the default is to not follow\n this convention when plotting on a map:
\nIn [140]: import cartopy.crs as ccrs\n \n In [141]: ax = plt.subplot(projection=ccrs.PlateCarree())\n \n In [142]: da.plot.pcolormesh(x="lon", y="lat", ax=ax)\n-Out[142]: <cartopy.mpl.geocollection.GeoQuadMesh at 0xffff8e46e490>\n+Out[142]: <cartopy.mpl.geocollection.GeoQuadMesh at 0xffff970ded50>\n \n In [143]: ax.scatter(lon, lat, transform=ccrs.PlateCarree())\n-Out[143]: <matplotlib.collections.PathCollection at 0xffff8e59cf50>\n+Out[143]: <matplotlib.collections.PathCollection at 0xffff9756f750>\n \n In [144]: ax.coastlines()\n-Out[144]: <cartopy.mpl.feature_artist.FeatureArtist at 0xffff524386e0>\n+Out[144]: <cartopy.mpl.feature_artist.FeatureArtist at 0xffff63511d30>\n \n In [145]: ax.gridlines(draw_labels=True)\n-Out[145]: <cartopy.mpl.gridliner.Gridliner at 0xffff5243b620>\n+Out[145]: <cartopy.mpl.gridliner.Gridliner at 0xffff635106e0>\n ![\"savefig/plotting_example_2d_irreg_map.png\"](\"savefig/plotting_example_2d_irreg_map.png\")
\n \n You can however decide to infer the cell boundaries and use the\n infer_intervals keyword:
In [146]: ax = plt.subplot(projection=ccrs.PlateCarree())\n \n In [147]: da.plot.pcolormesh(x="lon", y="lat", ax=ax, infer_intervals=True)\n-Out[147]: <cartopy.mpl.geocollection.GeoQuadMesh at 0xffff8e1de350>\n+Out[147]: <cartopy.mpl.geocollection.GeoQuadMesh at 0xffff9764c550>\n \n In [148]: ax.scatter(lon, lat, transform=ccrs.PlateCarree())\n-Out[148]: <matplotlib.collections.PathCollection at 0xffff8ea71950>\n+Out[148]: <matplotlib.collections.PathCollection at 0xffff97085450>\n \n In [149]: ax.coastlines()\n-Out[149]: <cartopy.mpl.feature_artist.FeatureArtist at 0xffff8ea71a90>\n+Out[149]: <cartopy.mpl.feature_artist.FeatureArtist at 0xffff97085310>\n \n In [150]: ax.gridlines(draw_labels=True)\n-Out[150]: <cartopy.mpl.gridliner.Gridliner at 0xffff8ea71310>\n+Out[150]: <cartopy.mpl.gridliner.Gridliner at 0xffff970851d0>\n ![\"savefig/plotting_example_2d_irreg_map_infer.png\"](\"savefig/plotting_example_2d_irreg_map_infer.png\")
\n \n \n
\n Note
\nThe data model of xarray does not support datasets with cell boundaries\n@@ -1626,26 +1626,26 @@\n outside the xarray framework.
\nOne can also make line plots with multidimensional coordinates. In this case, hue must be a dimension name, not a coordinate name.
In [151]: f, ax = plt.subplots(2, 1)\n \n In [152]: da.plot.line(x="lon", hue="y", ax=ax[0])\n Out[152]: \n-[<matplotlib.lines.Line2D at 0xffff8e6cfc50>,\n- <matplotlib.lines.Line2D at 0xffff8e6cfd90>,\n- <matplotlib.lines.Line2D at 0xffff8e6cf250>,\n- <matplotlib.lines.Line2D at 0xffff8e6cf4d0>]\n+[<matplotlib.lines.Line2D at 0xffff97d01bd0>,\n+ <matplotlib.lines.Line2D at 0xffff97d01450>,\n+ <matplotlib.lines.Line2D at 0xffff97d01e50>,\n+ <matplotlib.lines.Line2D at 0xffff97d03250>]\n \n In [153]: da.plot.line(x="lon", hue="x", ax=ax[1])\n Out[153]: \n-[<matplotlib.lines.Line2D at 0xffff8eedfed0>,\n- <matplotlib.lines.Line2D at 0xffff8eedce10>,\n- <matplotlib.lines.Line2D at 0xffff8eedfc50>,\n- <matplotlib.lines.Line2D at 0xffff8eedfd90>,\n- <matplotlib.lines.Line2D at 0xffff8eedf750>]\n+[<matplotlib.lines.Line2D at 0xffff97211e50>,\n+ <matplotlib.lines.Line2D at 0xffff97212490>,\n+ <matplotlib.lines.Line2D at 0xffff97212350>,\n+ <matplotlib.lines.Line2D at 0xffff97212210>,\n+ <matplotlib.lines.Line2D at 0xffff972120d0>]\n ![\"../_images/plotting_example_2d_hue_xy.png\"](\"../_images/plotting_example_2d_hue_xy.png\")
\n Reshaping via coarsen#
\nWhilst coarsen is normally used for reducing your data\u2019s resolution by applying a reduction function\n (see the page on computation),\n it can also be used to reorganise your data without applying a computation via construct().
Taking our example tutorial air temperature dataset over the Northern US
\nIn [56]: air = xr.tutorial.open_dataset("air_temperature")["air"]\n-ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff8e6ce990>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n+ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0xffff98b46ad0>: Failed to resolve 'github.com' ([Errno -3] Temporary failure in name resolution)"))\n \n \n In [57]: air.isel(time=0).plot(x="lon", y="lat")\n NameError: name 'air' is not defined\n ![\"../_images/pre_coarsening.png\"](\"../_images/pre_coarsening.png\")
\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -495,15 +495,15 @@\n a reduction function (see the _\bp_\ba_\bg_\be_\b _\bo_\bn_\b _\bc_\bo_\bm_\bp_\bu_\bt_\ba_\bt_\bi_\bo_\bn), it can also be used to\n reorganise your data without applying a computation via construct().\n Taking our example tutorial air temperature dataset over the Northern US\n In [56]: air = xr.tutorial.open_dataset(\"air_temperature\")[\"air\"]\n ConnectionError: HTTPSConnectionPool(host='github.com', port=443): Max retries\n exceeded with url: /pydata/xarray-data/raw/master/air_temperature.nc (Caused by\n NameResolutionError(\"Generating Examples#
\nTo see an example of what each of these strategies might produce, you can call one followed by the .example() method,\n which is a general hypothesis method valid for all strategies.
In [2]: import xarray.testing.strategies as xrst\n \n In [3]: xrst.variables().example()\n Out[3]: \n-<xarray.Variable (\u017b0w: 4, \u00be\u016f: 1, 8\u017f\u017d: 3)> Size: 48B\n-array([[[-0.000e+00, nan, -1.175e-38]],\n+<xarray.Variable (0: 1)> Size: 2B\n+array([0.], dtype=float16)\n \n- [[ nan, -0.000e+00, -1.175e-38]],\n+In [4]: xrst.variables().example()\n+Out[4]: \n+<xarray.Variable (\u016b\u014f\u017f\u00c2d: 3, \u015a\u0108\u0135\u017b\u017c: 1, \u00e1: 3)> Size: 36B\n+array([[[ 42980, 368375218, 36]],\n \n- [[ 1.500e+00, inf, -1.175e-38]],\n+ [[ 25009, 50574, 702361199]],\n \n- [[-1.192e-07, -1.175e-38, -1.175e-38]]], shape=(4, 1, 3), dtype=float32)\n+ [[ 21116, 252, 1111418160]]], dtype=uint32)\n Attributes:\n- \u00c8\u00d6\u00c89\u011d: True\n- \u0142\u010dM\u0116: None\n- \u00d3\u017d\u00f1\u0145\u017e: \u00ef\n-\n-In [4]: xrst.variables().example()\n-Out[4]: \n-<xarray.Variable (0: 1)> Size: 8B\n-array([0.+0.j], dtype=complex64)\n+ \u0144\u017c\u00d5\u00c4\u00e1: {'': True}\n+ X\u0129\u00ca\u017dy: {'': False, 'e': True}\n \n In [5]: xrst.variables().example()\n Out[5]: \n-<xarray.Variable (0: 1)> Size: 1B\n-array([0], dtype=int8)\n+<xarray.Variable (\u0176\u00d3I\u017d: 4, \u00da: 4, False: 2)> Size: 128B\n+array([[[ -inf, 1.000e+00],\n+ [ 1.000e+07, -5.960e-08],\n+ [-5.960e-08, -3.333e-01],\n+ [-5.960e-08, -5.960e-08]],\n+\n+ [[ inf, -5.960e-08],\n+ [ inf, -5.960e-08],\n+ [ 0.000e+00, 0.000e+00],\n+ [-5.960e-08, -5.960e-08]],\n+\n+ [[-5.960e-08, -5.960e-08],\n+ [-5.960e-08, -5.960e-08],\n+ [-5.960e-08, -5.960e-08],\n+ [-5.960e-08, -1.000e+00]],\n+\n+ [[-5.960e-08, 0.000e+00],\n+ [-5.960e-08, -5.960e-08],\n+ [ nan, -5.960e-08],\n+ [-5.960e-08, -5.960e-08]]], shape=(4, 4, 2), dtype=float32)\n You can see that calling .example() multiple times will generate different examples, giving you an idea of the wide\n range of data that the xarray strategies can generate.
In your tests however you should not use .example() - instead you should parameterize your tests with the\n hypothesis.given() decorator:
In [6]: from hypothesis import given\n@@ -577,103 +592,98 @@\n examples.\n # generate a Variable containing an array with a complex number dtype, but all other details still arbitrary\n In [8]: from hypothesis.extra.numpy import complex_number_dtypes\n \n In [9]: xrst.variables(dtype=complex_number_dtypes()).example()\n Out[9]: \n <xarray.Variable (0: 1)> Size: 8B\n-array([0.+0.j], dtype=complex64)\n+array([0.+0.j], dtype='>c8')\n
\n \n This also works with custom strategies, or strategies defined in other packages.\n For example you could imagine creating a chunks strategy to specify particular chunking patterns for a dask-backed array.
\n \n \n Fixing Arguments#
\n If you want to fix one aspect of the data structure, whilst allowing variation in the generated examples\n over all other aspects, then use hypothesis.strategies.just().
\n In [10]: import hypothesis.strategies as st\n \n # Generates only variable objects with dimensions ["x", "y"]\n In [11]: xrst.variables(dims=st.just(["x", "y"])).example()\n Out[11]: \n-<xarray.Variable (x: 5, y: 6)> Size: 120B\n-array([[ 0.000e+00, 0.000e+00, 0.000e+00, -2.000e+00, nan, -inf],\n- [ nan, -3.333e-01, nan, 0.000e+00, -1.900e+00, 0.000e+00],\n- [ 0.000e+00, nan, 0.000e+00, 0.000e+00, 1.000e+07, 0.000e+00],\n- [ 1.900e+00, 0.000e+00, 6.104e-05, -1.000e+07, 0.000e+00, -9.007e+15],\n- [ 0.000e+00, nan, -3.333e-01, 1.100e+00, -1.175e-38, -1.175e-38]],\n- shape=(5, 6), dtype=float32)\n+<xarray.Variable (x: 3, y: 2)> Size: 24B\n+array([[ 5.000e-01, 2.220e-16],\n+ [ inf, -3.403e+38],\n+ [-1.000e-05, 2.220e-16]], dtype=float32)\n Attributes:\n- : {}\n+ \u00aa\u017d\u017e\u0172\u0143: True\n+ \u0115: None\n+ \u014bE\u00e4\u0136: \u0126S\u017f\n+ \u0140: [['?' 'gdB\u00b9\\x07\\x16=o\\U0003f48e']]\n+ \u0116\u017eX\u017d: \u011d\n+ \u00d6\u0101\u016b: None\n+ \u00bd\u017b: \u017c\u00da2\u017e\u00da\n+ \u017dk: \u00cf\u014b\n
\n \n (This is technically another example of chaining strategies - hypothesis.strategies.just() is simply a\n special strategy that just contains a single example.)
\n To fix the length of dimensions you can instead pass dims as a mapping of dimension names to lengths\n (i.e. following xarray objects\u2019 .sizes() property), e.g.
\n # Generates only variables with dimensions ["x", "y"], of lengths 2 & 3 respectively\n In [12]: xrst.variables(dims=st.just({"x": 2, "y": 3})).example()\n Out[12]: \n-<xarray.Variable (x: 2, y: 3)> Size: 12B\n-array([[ -961, -29705, -2813],\n- [ 24417, 28136, -32107]], dtype=int16)\n+<xarray.Variable (x: 2, y: 3)> Size: 96B\n+array([[-2.225e-311-1.024e-024j, 1.192e-007-1.175e-038j, -2.000e+000-5.960e-008j],\n+ [ 1.175e-038 +nanj, 1.000e-005-5.964e+213j, 4.941e-324-1.113e-308j]])\n Attributes:\n- \u00d8\u00ce\u00b9\u017b\u0160: None\n- \u0101\u0114\u00fc\u00d8\u0117: [[3.032e-239]\\n [ nan]]\n+ : {}\n+ \u017b\u0117: {'\u00c1E\u00d0b\u00fd': False}\n+ \u017e\u010a\u0112\u00e0: {'\u0114\u0112K\u017d\u0104': array([[b'4\\x96b+\\x15\\x9a', b'\\x8fv'],\\n [b'\\x0...\n
\n \n You can also use this to specify that you want examples which are missing some part of the data structure, for instance
\n # Generates a Variable with no attributes\n In [13]: xrst.variables(attrs=st.just({})).example()\n Out[13]: \n-<xarray.Variable (\u017b: 1, 1e100: 6, \u00cb: 1)> Size: 24B\n-array([[[ 247],\n- [ 64058],\n- [ 11657],\n- [ 235],\n- [3371853590],\n- [ 48]]], dtype=uint32)\n+<xarray.Variable (0: 1)> Size: 2B\n+array([0.], dtype=float16)\n
\n \n Through a combination of chaining strategies and fixing arguments, you can specify quite complicated requirements on the\n objects your chained strategy will generate.
\n In [14]: fixed_x_variable_y_maybe_z = st.fixed_dictionaries(\n ....: {"x": st.just(2), "y": st.integers(3, 4)}, optional={"z": st.just(2)}\n ....: )\n ....: \n \n In [15]: fixed_x_variable_y_maybe_z.example()\n-Out[15]: {'x': 2, 'y': 3}\n+Out[15]: {'x': 2, 'y': 4, 'z': 2}\n \n In [16]: special_variables = xrst.variables(dims=fixed_x_variable_y_maybe_z)\n \n In [17]: special_variables.example()\n Out[17]: \n-<xarray.Variable (x: 2, y: 4, z: 2)> Size: 16B\n-array([[[111, 197],\n- [197, 197],\n- [ 88, 207],\n- [197, 197]],\n-\n- [[160, 197],\n- [197, 217],\n- [197, 17],\n- [197, 243]]], shape=(2, 4, 2), dtype=uint8)\n+<xarray.Variable (x: 2, y: 3, z: 2)> Size: 48B\n+array([[[57323, 5728],\n+ [ 5728, 5728],\n+ [ 5728, 5728]],\n+\n+ [[25253, 5728],\n+ [ 5728, 5728],\n+ [ 161, 5728]]], shape=(2, 3, 2), dtype=uint32)\n Attributes:\n- \u017e\u0173\u0148\u00c8\u0111: ['' '\\x03\\U00034fd1\\U00089fc3e\\x1a\\U000dcf57\u00cbp\u00bc2\u00f7\\x18^']\n- \u0106\u016b: False\n+ I\u0169: {'': '', '\u0160': array(['\\U0003d498\u00b0', '\\x8a\\U000e3428\\U00082e39']...\n \n In [18]: special_variables.example()\n Out[18]: \n-<xarray.Variable (x: 2, y: 4)> Size: 16B\n-array([[-0. , 0. , 0. , inf],\n- [-0. , 0. , nan, 0.5]], dtype=float16)\n-Attributes:\n- \u00d2\u012b\u0135\u00dd\u017e: {'\u0110': array([['\u00d4', ''],\\n ['@', 'U']], dtype='>U1'), '\u014c\u00e7\u0105...\n+<xarray.Variable (x: 2, y: 4)> Size: 8B\n+array([[ 17, 134, 91, 231],\n+ [ 71, 212, 178, 221]], dtype=uint8)\n
\n \n Here we have used one of hypothesis\u2019 built-in strategies hypothesis.strategies.fixed_dictionaries() to create a\n strategy which generates mappings of dimension names to lengths (i.e. the size of the xarray object we want).\n This particular strategy will always generate an x dimension of length 2, and a y dimension of\n length either 3 or 4, and will sometimes also generate a z dimension of length 2.\n By feeding this strategy for dictionaries into the dims argument of xarray\u2019s variables() strategy,\n@@ -774,19 +784,16 @@\n ....: array_strategy_fn=xps.arrays,\n ....: dtype=xps.scalar_dtypes(),\n ....: )\n ....: \n \n In [32]: xp_variables.example()\n Out[32]: \n-<xarray.Variable (\u00fd: 3)> Size: 24B\n-array([ 0.000e+00-1.000e+07j, -6.104e-05 -infj, nan+1.192e-07j], dtype=complex64)\n-Attributes:\n- \u0133\u017b5\u017c\u0163: {}\n- P\u0106\u017f\u00dc\u011c: {'i\u00d359\u011a': 'Z\u013bq\u00de\u017c', '\u00b9\u0172\u00dd\u00df\u0155': None, 'True': None, '\u011b\u00ec': array([b'...\n+<xarray.Variable (0: 1)> Size: 1B\n+array([False])\n
Another array API-compliant duck array library would replace the import, e.g. import cupy as cp instead.
Testing over Subsets of Dimensions#
\nA common task when testing xarray user code is checking that your function works for all valid input dimensions.\n@@ -795,25 +802,25 @@\n
It works for lists of dimension names
\nIn [33]: dims = ["x", "y", "z"]\n \n In [34]: xrst.unique_subset_of(dims).example()\n Out[34]: ['z']\n \n In [35]: xrst.unique_subset_of(dims).example()\n-Out[35]: ['z', 'x']\n+Out[35]: ['x']\n as well as for mappings of dimension names to sizes
\nIn [36]: dim_sizes = {"x": 2, "y": 3, "z": 4}\n \n In [37]: xrst.unique_subset_of(dim_sizes).example()\n-Out[37]: {'x': 2, 'y': 3}\n+Out[37]: {'z': 4}\n \n In [38]: xrst.unique_subset_of(dim_sizes).example()\n-Out[38]: {'x': 2, 'z': 4}\n+Out[38]: {'z': 4, 'y': 3}\n This is useful because operations like reductions can be performed over any subset of the xarray object\u2019s dimensions.\n For example we can write a pytest test that tests that a reduction gives the expected result when applying that reduction\n along any possible valid subset of the Variable\u2019s dimensions.
\nimport numpy.testing as npt\n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -81,36 +81,51 @@\n To see an example of what each of these strategies might produce, you can call\n one followed by the .example() method, which is a general hypothesis method\n valid for all strategies.\n In [2]: import xarray.testing.strategies as xrst\n \n In [3]: xrst.variables().example()\n Out[3]:\n- Size: 48B\n-array([[[-0.000e+00, nan, -1.175e-38]],\n+ Size: 2B\n+array([0.], dtype=float16)\n \n- [[ nan, -0.000e+00, -1.175e-38]],\n+In [4]: xrst.variables().example()\n+Out[4]:\n+ Size: 36B\n+array([[[ 42980, 368375218, 36]],\n \n- [[ 1.500e+00, inf, -1.175e-38]],\n+ [[ 25009, 50574, 702361199]],\n \n- [[-1.192e-07, -1.175e-38, -1.175e-38]]], shape=(4, 1, 3), dtype=float32)\n+ [[ 21116, 252, 1111418160]]], dtype=uint32)\n Attributes:\n- \u00c8\u00d6\u00c89\u011d: True\n- \u0142\u010dM\u0116: None\n- \u00d3\u017d\u00f1\u0145\u017e: \u00ef\n-\n-In [4]: xrst.variables().example()\n-Out[4]:\n- Size: 8B\n-array([0.+0.j], dtype=complex64)\n+ \u0144\u017c\u00d5\u00c4\u00e1: {'': True}\n+ X\u0129\u00ca\u017dy: {'': False, 'e': True}\n \n In [5]: xrst.variables().example()\n Out[5]:\n- Size: 1B\n-array([0], dtype=int8)\n+ Size: 128B\n+array([[[ -inf, 1.000e+00],\n+ [ 1.000e+07, -5.960e-08],\n+ [-5.960e-08, -3.333e-01],\n+ [-5.960e-08, -5.960e-08]],\n+\n+ [[ inf, -5.960e-08],\n+ [ inf, -5.960e-08],\n+ [ 0.000e+00, 0.000e+00],\n+ [-5.960e-08, -5.960e-08]],\n+\n+ [[-5.960e-08, -5.960e-08],\n+ [-5.960e-08, -5.960e-08],\n+ [-5.960e-08, -5.960e-08],\n+ [-5.960e-08, -1.000e+00]],\n+\n+ [[-5.960e-08, 0.000e+00],\n+ [-5.960e-08, -5.960e-08],\n+ [ nan, -5.960e-08],\n+ [-5.960e-08, -5.960e-08]]], shape=(4, 4, 2), dtype=float32)\n You can see that calling .example() multiple times will generate different\n examples, giving you an idea of the wide range of data that the xarray\n strategies can generate.\n In your tests however you should not use .example() - instead you should\n parameterize your tests with the hypothesis.given() decorator:\n In [6]: from hypothesis import given\n In [7]: @given(xrst.variables())\n@@ -123,107 +138,100 @@\n # generate a Variable containing an array with a complex number dtype, but all\n other details still arbitrary\n In [8]: from hypothesis.extra.numpy import complex_number_dtypes\n \n In [9]: xrst.variables(dtype=complex_number_dtypes()).example()\n Out[9]:\n Size: 8B\n-array([0.+0.j], dtype=complex64)\n+array([0.+0.j], dtype='>c8')\n This also works with custom strategies, or strategies defined in other\n packages. For example you could imagine creating a chunks strategy to specify\n particular chunking patterns for a dask-backed array.\n *\b**\b**\b**\b* F\bFi\bix\bxi\bin\bng\bg A\bAr\brg\bgu\bum\bme\ben\bnt\bts\bs_\b#\b# *\b**\b**\b**\b*\n If you want to fix one aspect of the data structure, whilst allowing variation\n in the generated examples over all other aspects, then use\n hypothesis.strategies.just().\n In [10]: import hypothesis.strategies as st\n \n # Generates only variable objects with dimensions [\"x\", \"y\"]\n In [11]: xrst.variables(dims=st.just([\"x\", \"y\"])).example()\n Out[11]:\n- Size: 120B\n-array([[ 0.000e+00, 0.000e+00, 0.000e+00, -2.000e+00, nan, -\n-inf],\n- [ nan, -3.333e-01, nan, 0.000e+00, -1.900e+00,\n-0.000e+00],\n- [ 0.000e+00, nan, 0.000e+00, 0.000e+00, 1.000e+07,\n-0.000e+00],\n- [ 1.900e+00, 0.000e+00, 6.104e-05, -1.000e+07, 0.000e+00, -\n-9.007e+15],\n- [ 0.000e+00, nan, -3.333e-01, 1.100e+00, -1.175e-38, -1.175e-\n-38]],\n- shape=(5, 6), dtype=float32)\n+ Size: 24B\n+array([[ 5.000e-01, 2.220e-16],\n+ [ inf, -3.403e+38],\n+ [-1.000e-05, 2.220e-16]], dtype=float32)\n Attributes:\n- : {}\n+ \u00aa\u017d\u017e\u0172\u0143: True\n+ \u0115: None\n+ \u014bE\u00e4\u0136: \u0126S\u017f\n+ \u0140: [['?' 'gdB\u00b9\\x07\\x16=o\\U0003f48e']]\n+ \u0116\u017eX\u017d: \u011d\n+ \u00d6\u0101\u016b: None\n+ \u00bd\u017b: \u017c\u00da2\u017e\u00da\n+ \u017dk: \u00cf\u014b\n (This is technically another example of chaining strategies -\n hypothesis.strategies.just() is simply a special strategy that just contains a\n single example.)\n To fix the length of dimensions you can instead pass dims as a mapping of\n dimension names to lengths (i.e. following xarray objects\u2019 .sizes() property),\n e.g.\n # Generates only variables with dimensions [\"x\", \"y\"], of lengths 2 & 3\n respectively\n In [12]: xrst.variables(dims=st.just({\"x\": 2, \"y\": 3})).example()\n Out[12]:\n- Size: 12B\n-array([[ -961, -29705, -2813],\n- [ 24417, 28136, -32107]], dtype=int16)\n+ Size: 96B\n+array([[-2.225e-311-1.024e-024j, 1.192e-007-1.175e-038j, -2.000e+000-5.960e-\n+008j],\n+ [ 1.175e-038 +nanj, 1.000e-005-5.964e+213j, 4.941e-324-1.113e-\n+308j]])\n Attributes:\n- \u00d8\u00ce\u00b9\u017b\u0160: None\n- \u0101\u0114\u00fc\u00d8\u0117: [[3.032e-239]\\n [ nan]]\n+ : {}\n+ \u017b\u0117: {'\u00c1E\u00d0b\u00fd': False}\n+ \u017e\u010a\u0112\u00e0: {'\u0114\u0112K\u017d\u0104': array([[b'4\\x96b+\\x15\\x9a', b'\\x8fv'],\\n\n+[b'\\x0...\n You can also use this to specify that you want examples which are missing some\n part of the data structure, for instance\n # Generates a Variable with no attributes\n In [13]: xrst.variables(attrs=st.just({})).example()\n Out[13]:\n- Size: 24B\n-array([[[ 247],\n- [ 64058],\n- [ 11657],\n- [ 235],\n- [3371853590],\n- [ 48]]], dtype=uint32)\n+ Size: 2B\n+array([0.], dtype=float16)\n Through a combination of chaining strategies and fixing arguments, you can\n specify quite complicated requirements on the objects your chained strategy\n will generate.\n In [14]: fixed_x_variable_y_maybe_z = st.fixed_dictionaries(\n ....: {\"x\": st.just(2), \"y\": st.integers(3, 4)}, optional={\"z\": st.just\n (2)}\n ....: )\n ....:\n \n In [15]: fixed_x_variable_y_maybe_z.example()\n-Out[15]: {'x': 2, 'y': 3}\n+Out[15]: {'x': 2, 'y': 4, 'z': 2}\n \n In [16]: special_variables = xrst.variables(dims=fixed_x_variable_y_maybe_z)\n \n In [17]: special_variables.example()\n Out[17]:\n- Size: 16B\n-array([[[111, 197],\n- [197, 197],\n- [ 88, 207],\n- [197, 197]],\n-\n- [[160, 197],\n- [197, 217],\n- [197, 17],\n- [197, 243]]], shape=(2, 4, 2), dtype=uint8)\n+ Size: 48B\n+array([[[57323, 5728],\n+ [ 5728, 5728],\n+ [ 5728, 5728]],\n+\n+ [[25253, 5728],\n+ [ 5728, 5728],\n+ [ 161, 5728]]], shape=(2, 3, 2), dtype=uint32)\n Attributes:\n- \u017e\u0173\u0148\u00c8\u0111: ['' '\\x03\\U00034fd1\\U00089fc3e\\x1a\\U000dcf57\u00cbp\u00bc2\u00f7\\x18^']\n- \u0106\u016b: False\n+ I\u0169: {'': '', '\u0160': array(['\\U0003d498\u00b0',\n+'\\x8a\\U000e3428\\U00082e39']...\n \n In [18]: special_variables.example()\n Out[18]:\n- Size: 16B\n-array([[-0. , 0. , 0. , inf],\n- [-0. , 0. , nan, 0.5]], dtype=float16)\n-Attributes:\n- \u00d2\u012b\u0135\u00dd\u017e: {'\u0110': array([['\u00d4', ''],\\n ['@', 'U']], dtype='>U1'),\n-'\u014c\u00e7\u0105...\n+ Size: 8B\n+array([[ 17, 134, 91, 231],\n+ [ 71, 212, 178, 221]], dtype=uint8)\n Here we have used one of hypothesis\u2019 built-in strategies\n hypothesis.strategies.fixed_dictionaries() to create a strategy which generates\n mappings of dimension names to lengths (i.e. the size of the xarray object we\n want). This particular strategy will always generate an x dimension of length\n 2, and a y dimension of length either 3 or 4, and will sometimes also generate\n a z dimension of length 2. By feeding this strategy for dictionaries into the\n dims argument of xarray\u2019s variables() strategy, we can generate arbitrary\n@@ -317,43 +325,38 @@\n ....: array_strategy_fn=xps.arrays,\n ....: dtype=xps.scalar_dtypes(),\n ....: )\n ....:\n \n In [32]: xp_variables.example()\n Out[32]:\n- Size: 24B\n-array([ 0.000e+00-1.000e+07j, -6.104e-05 -infj, nan+1.192e-07j],\n-dtype=complex64)\n-Attributes:\n- \u0133\u017b5\u017c\u0163: {}\n- P\u0106\u017f\u00dc\u011c: {'i\u00d359\u011a': 'Z\u013bq\u00de\u017c', '\u00b9\u0172\u00dd\u00df\u0155': None, 'True': None, '\u011b\u00ec': array(\n-[b'...\n+ Size: 1B\n+array([False])\n Another array API-compliant duck array library would replace the import, e.g.\n import cupy as cp instead.\n *\b**\b**\b**\b* T\bTe\bes\bst\bti\bin\bng\bg o\bov\bve\ber\br S\bSu\bub\bbs\bse\bet\bts\bs o\bof\bf D\bDi\bim\bme\ben\bns\bsi\bio\bon\bns\bs_\b#\b# *\b**\b**\b**\b*\n A common task when testing xarray user code is checking that your function\n works for all valid input dimensions. We can chain strategies to achieve this,\n for which the helper strategy unique_subset_of() is useful.\n It works for lists of dimension names\n In [33]: dims = [\"x\", \"y\", \"z\"]\n \n In [34]: xrst.unique_subset_of(dims).example()\n Out[34]: ['z']\n \n In [35]: xrst.unique_subset_of(dims).example()\n-Out[35]: ['z', 'x']\n+Out[35]: ['x']\n as well as for mappings of dimension names to sizes\n In [36]: dim_sizes = {\"x\": 2, \"y\": 3, \"z\": 4}\n \n In [37]: xrst.unique_subset_of(dim_sizes).example()\n-Out[37]: {'x': 2, 'y': 3}\n+Out[37]: {'z': 4}\n \n In [38]: xrst.unique_subset_of(dim_sizes).example()\n-Out[38]: {'x': 2, 'z': 4}\n+Out[38]: {'z': 4, 'y': 3}\n This is useful because operations like reductions can be performed over any\n subset of the xarray object\u2019s dimensions. For example we can write a pytest\n test that tests that a reduction gives the expected result when applying that\n reduction along any possible valid subset of the Variable\u2019s dimensions.\n import numpy.testing as npt\n \n \n"}]}, {"source1": "./usr/share/doc/python-xarray-doc/html/whats-new.html", "source2": "./usr/share/doc/python-xarray-doc/html/whats-new.html", "unified_diff": "@@ -8706,15 +8706,15 @@\n New xray.Dataset.where method for masking xray objects according\n to some criteria. This works particularly well with multi-dimensional data:
\n In [45]: ds = xray.Dataset(coords={"x": range(100), "y": range(100)})\n \n In [46]: ds["distance"] = np.sqrt(ds.x**2 + ds.y**2)\n \n In [47]: ds.distance.where(ds.distance < 100).plot()\n-Out[47]: <matplotlib.collections.QuadMesh at 0xffff8eede990>\n+Out[47]: <matplotlib.collections.QuadMesh at 0xffff97d97110>\n
\n \n ![\"_images/where_example.png\"](\"_images/where_example.png\")
\n \n Added new methods xray.DataArray.diff and xray.Dataset.diff\n for finite difference calculations along a given axis.
\n+ Out[47]: \n _\b[_\b__\bi_\bm_\ba_\bg_\be_\bs_\b/_\bw_\bh_\be_\br_\be_\b__\be_\bx_\ba_\bm_\bp_\bl_\be_\b._\bp_\bn_\bg_\b]\n * Added new methods xray.DataArray.diff and xray.Dataset.diff for finite\n difference calculations along a given axis.\n * New xray.DataArray.to_masked_array convenience method for returning a\n numpy.ma.MaskedArray.\n In [48]: da = xray.DataArray(np.random.random_sample(size=(5, 4)))\n \n"}]}]}]}]}]}