From 4924c0930ec5735158feb7035eef950675e73bd4 Mon Sep 17 00:00:00 2001 From: Long Vu Date: Mon, 12 Apr 2021 22:00:18 -0400 Subject: [PATCH] subset.ipynb: fix to pass Jenkins against other servers than prod Use `boreas.ouranos.ca` instead of `pavics.ouranos.ca` for `wfs_url = 'https://boreas.ouranos.ca/geoserver/wfs'` so we do not replace it with other hosts, due to existing issue https://github.com/Ouranosinc/pavics-sdi/issues/183. Write `poly_file = Path('/tmp/mtl_raw.geojson')` to `/tmp/` for notebooks works on tutorial-notebooks folder on Jupyter env that is read-only. --- docs/source/notebooks/subset.ipynb | 327 +++++++---------------------- 1 file changed, 78 insertions(+), 249 deletions(-) diff --git a/docs/source/notebooks/subset.ipynb b/docs/source/notebooks/subset.ipynb index a9da9a60..45c15072 100644 --- a/docs/source/notebooks/subset.ipynb +++ b/docs/source/notebooks/subset.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "consecutive-nursery", + "id": "d755726a", "metadata": {}, "source": [ "# Spatial subsets and averages\n", @@ -15,15 +15,8 @@ { "cell_type": "code", "execution_count": 1, - "id": "sealed-documentary", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:01.780759Z", - "iopub.status.busy": "2021-04-12T18:49:01.777938Z", - "iopub.status.idle": "2021-04-12T18:49:02.852828Z", - "shell.execute_reply": "2021-04-12T18:49:02.852188Z" - } - }, + "id": "3dd0d79e", + "metadata": {}, "outputs": [], "source": [ "import os\n", @@ -34,15 +27,8 @@ { "cell_type": "code", "execution_count": 2, - "id": "colored-purse", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:02.858604Z", - "iopub.status.busy": "2021-04-12T18:49:02.856651Z", - "iopub.status.idle": "2021-04-12T18:49:04.527291Z", - "shell.execute_reply": "2021-04-12T18:49:04.526864Z" - } - }, + "id": "6b647853", + "metadata": {}, "outputs": [], "source": [ "pavics_url = 'https://pavics.ouranos.ca/twitcher/ows/proxy/finch/wps'\n", @@ -53,7 +39,7 @@ }, { "cell_type": "markdown", - "id": "wound-heating", + "id": "58dff327", "metadata": {}, "source": [ "For the examples in this notebook, we are using a year of daily data, minimum temperature over southern Québec." @@ -62,15 +48,8 @@ { "cell_type": "code", "execution_count": 3, - "id": "informational-puzzle", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:04.530074Z", - "iopub.status.busy": "2021-04-12T18:49:04.529649Z", - "iopub.status.idle": "2021-04-12T18:49:04.531706Z", - "shell.execute_reply": "2021-04-12T18:49:04.531198Z" - } - }, + "id": "a302df5a", + "metadata": {}, "outputs": [], "source": [ "# URL to a netCDF of minimum daily temperature over southern Quebec\n", @@ -79,7 +58,7 @@ }, { "cell_type": "markdown", - "id": "statewide-friendship", + "id": "9a97f3c4", "metadata": {}, "source": [ "## Bounding box subsetting\n", @@ -92,15 +71,8 @@ { "cell_type": "code", "execution_count": 4, - "id": "constant-square", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:04.537907Z", - "iopub.status.busy": "2021-04-12T18:49:04.537443Z", - "iopub.status.idle": "2021-04-12T18:49:07.020814Z", - "shell.execute_reply": "2021-04-12T18:49:07.018903Z" - } - }, + "id": "72c7fa75", + "metadata": {}, "outputs": [], "source": [ "resp = wps.subset_bbox(tasmin_url, lon0=-74.2, lon1=-73.3, lat0=45.25, lat1=45.80, variable=['tasmin'],\n", @@ -110,29 +82,12 @@ { "cell_type": "code", "execution_count": 5, - "id": "physical-virus", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:07.035466Z", - "iopub.status.busy": "2021-04-12T18:49:07.033071Z", - "iopub.status.idle": "2021-04-12T18:49:08.901285Z", - "shell.execute_reply": "2021-04-12T18:49:08.901900Z" - } - }, + "id": "fc3ca1d6", + "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -151,7 +106,7 @@ }, { "cell_type": "markdown", - "id": "confirmed-senegal", + "id": "d89b06ec", "metadata": {}, "source": [ "## Polygon subsetting\n", @@ -168,15 +123,8 @@ { "cell_type": "code", "execution_count": 6, - "id": "ceramic-recovery", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:08.905892Z", - "iopub.status.busy": "2021-04-12T18:49:08.905369Z", - "iopub.status.idle": "2021-04-12T18:49:10.821659Z", - "shell.execute_reply": "2021-04-12T18:49:10.822158Z" - } - }, + "id": "34062134", + "metadata": {}, "outputs": [], "source": [ "from owslib.wfs import WebFeatureService\n", @@ -185,13 +133,13 @@ "from pathlib import Path\n", "\n", "# Connect to GeoServer WFS service.\n", - "wfs_url = 'http://pavics.ouranos.ca/geoserver/wfs'\n", + "wfs_url = 'https://boreas.ouranos.ca/geoserver/wfs'\n", "wfs = WebFeatureService(wfs_url, version='1.1.0')" ] }, { "cell_type": "markdown", - "id": "blank-oliver", + "id": "25e2dc63", "metadata": {}, "source": [ "#### Downloading and handling polygons locally\n", @@ -202,15 +150,8 @@ { "cell_type": "code", "execution_count": 7, - "id": "mounted-cigarette", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:10.829465Z", - "iopub.status.busy": "2021-04-12T18:49:10.828813Z", - "iopub.status.idle": "2021-04-12T18:49:13.174665Z", - "shell.execute_reply": "2021-04-12T18:49:13.174287Z" - } - }, + "id": "8446e2a6", + "metadata": {}, "outputs": [ { "data": { @@ -385,7 +326,7 @@ "16 Montréal [-73.9966, 45.3854, -73.4741, 45.7076] " ] }, - "execution_count": 1, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -409,15 +350,8 @@ { "cell_type": "code", "execution_count": 8, - "id": "average-myrtle", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:13.180497Z", - "iopub.status.busy": "2021-04-12T18:49:13.180056Z", - "iopub.status.idle": "2021-04-12T18:49:13.207167Z", - "shell.execute_reply": "2021-04-12T18:49:13.206742Z" - } - }, + "id": "f68f97f5", + "metadata": {}, "outputs": [ { "data": { @@ -471,7 +405,7 @@ "16 MULTIPOLYGON (((-73.70930 45.54320, -73.70870 ... Montréal" ] }, - "execution_count": 1, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -486,25 +420,18 @@ { "cell_type": "code", "execution_count": 9, - "id": "frank-checkout", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:13.243761Z", - "iopub.status.busy": "2021-04-12T18:49:13.217313Z", - "iopub.status.idle": "2021-04-12T18:49:13.245838Z", - "shell.execute_reply": "2021-04-12T18:49:13.245394Z" - } - }, + "id": "2d8d72eb", + "metadata": {}, "outputs": [], "source": [ "# Write to file\n", - "poly_file = Path('mtl_raw.geojson')\n", + "poly_file = Path('/tmp/mtl_raw.geojson')\n", "poly_mtl.to_file(poly_file, driver='GeoJSON')" ] }, { "cell_type": "markdown", - "id": "final-discovery", + "id": "be902c4a", "metadata": {}, "source": [ "Now that we have a (multipart) polygon, we can call the WPS subset process. When passing a local file, birdy requires the path to be absolute, our use of a `Path` object makes this easy. Before subsetting, the three polygons of our GeoJSON will be merged as one." @@ -513,15 +440,8 @@ { "cell_type": "code", "execution_count": 10, - "id": "processed-charity", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:13.250687Z", - "iopub.status.busy": "2021-04-12T18:49:13.250259Z", - "iopub.status.idle": "2021-04-12T18:49:15.759328Z", - "shell.execute_reply": "2021-04-12T18:49:15.757545Z" - } - }, + "id": "c9da681f", + "metadata": {}, "outputs": [], "source": [ "resp = wps.subset_polygon(tasmin_url, poly_file.absolute(), variable=['tasmin'],\n", @@ -531,29 +451,12 @@ { "cell_type": "code", "execution_count": 11, - "id": "enormous-outline", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:15.779983Z", - "iopub.status.busy": "2021-04-12T18:49:15.779097Z", - "iopub.status.idle": "2021-04-12T18:49:16.018886Z", - "shell.execute_reply": "2021-04-12T18:49:16.018435Z" - } - }, + "id": "2acd2673", + "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", + "image/png": 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8maTdWd/0tQXFqKtstmcCM9PrqrNf2n4c2L/0/r+B/+7KdUIIobcUU6+0xzMmkv5fRrIVtm+odbBRH8q/AB8DdqToOO8MKM9RzNMfQgj9Whv1oVwI/Jz6M8m9HWguoNi+RNKlwEdtX95UEUMIoV25rfpQfmW77lrzkuoOimpYV7PdQQ+u8BVCCH1Vm/WhfLzWAUk7A5RH6FaT2/g3Q9KJknbqynMoIYTQ7toooFwnaUjlTklvAG7OySD3SfnOatDnSvtynkMJYZM0/txv5SUcnPdB4KF5642gzPVLBuelG7LZ6qx0I4evaJwI2GxwXn7vvDlvFqXVmU+RP/7Uyxqm+cuHvpyVV29qs7m8ZgO/kvR+2y/Ausc9LmV9DKgrq4Zie+cqWwSTEEK/t9YDsrZGUgvQzZIWplnWjysdO1bSA2n/maX9EyXdnvbPq/Z8YGpRmiHpwfTvVtWub/vLwO+AGyWNkPQB4EfAIbZn5PwscmcbHgx8hqKHH4rhv9+3nfd1JoQQ2pBb2ym/hmJewzmSRgKzJc0AtqOYhmqi7ZWStgWQNIhi5pDJtu+RtA1Q7TP5FOAm21MlnZLeV11y0/YZkl6kqK0I2M/2X3JvILfJ63xgMPC99H5y2ldvNccQQmh7blFASbOHLE6vl0laSPEc4KeAqbZXpmNL0invAe61fU/a/1SNrA8C9kmvL6GoEGwQUCT9gvVTbY0G/gJ8S1Jn+Q5sdA+5AWUP228ovf+dpHsyzw0hhDbVpT6UUZLK00dNs1119g9J44DdgTuAs4C9JZ0BrKCYwuouYAJgSTdSBIArbZ9ZJbvtOqe6sr24s4ZTxdk1XmfLDShrJe1i+yEASePp4rooIYTQjrpQQ1lqe1KjRJJGAFcDx9t+LjVtbQXsCewBXJU+gwcBb0v7XgBukjTb9k1N3AaNlnvPkTts+CTgZkkzJd1C0XFzQncvHkIIfVmrn0NJ/dVXA5fbvibtfhS4xoU7gQ5gVNp/i+2laVTWDcAbq2T7hKQxKf8xwJIqaZDUcK7ERmmyaii2b5L0KuDVFO1r93e254UQQr9lWNuiPhQVnRUXAwttl8e1XwvsB8xMy7EPAZYCNwInpxnZVwHvAM6pkvV1wBHA1PTvz2sU4WBJ9caXi2Iy35pym7wA3gSMS+e8QRK2f9SF80MIoa2Y1nXKU6wfNRmYJ2lu2ncaMB2YLmk+ReA4wraBZyR9C7grFeUG278EkHQRcIHtWRSB5CpJn6RYFuSDNa5/Uo39ZbfWO5g7bPhSihUW57K+78QUY5RDCKGfat2DjbZvo/bEjFWnPLF9GVUWHbR9ZOn1UxTrSTW6/iV5Ja0tt4YyCXhdioohhBCS+FRcLzegzAdeThojHUIIodDCJq8+LzegjALuk3QnsK4zPudBlxBCaFc2rG2TBbYqSRpu+/munJMbUKZ0vTghhND+2q3JS9I/AxcBI4CxabbhT9v+bKNzc4cN133gRdLttt+ak1cIIbSTNmzyOoditd7rANI8YW+vf0qhK8OG69lghssQQmh3Ru0YULD9SOccXknWzCitCihtVukLIYQ8bfjh90hq9nJacOvzwMKcE1sVUELYwDvef1ZWuud2yvszfLHWlHYlK0flLXTl4ZnpMr98akjmAlsrMjtwB2YusDVkTVa60cOXZ6Xba5uHs9L9y8h5WelWOW+BrUtftlfDNK+4KO/vaZvZvfix5rZs8joa+DbFTMePAr/hpYsr1tSqn3zb/URDCCGHO9rn40/SQOBc24c1c37W1yVJwyUNSK8nSDowTWLWaXIzFw8hhL7Oztv6AttrgdHV1pbPkVtD+T3FfPxbATcBs4APA4elQsxv5uIhhNCXtXgur03FIuAPkq4D1j2HUjFhZVW5AUW2X0iTi/1/ts+UdHdTRQ0hhHZh8jva+o7H0zYAGNmVE7MDiqS3UtRIPtnFc0MIoW31leasXLa/0uy5uUHheOBU4Ge2F6TVwm5u9qIhhNAe1Fad8gCSbqbKaGjb+zU6tytPyt8iaXh6/zDF2OQQQujf2qyGApxYej0M+ACQNT49dz2Ut1KsJNbluV1CCKFtteFzKLZnV+z6Q1r6vaHcJq9zaXJulxBCaGttVkORtHXp7QCK1XpfnnNudsd6s3O7wLqHZWYBj9k+QNIU4FPAkynJabZvqHLelhSzXr6e4tf2Cdu35143hBB6XnvVUIDZFJ+3omjq+ivrB2PVlRtQmp7bJTkupd+itO8c22c3OO/bwK9tH5quu3kXrhlCCD2vRTUUSTtRLKv+cqADmGb72+nYscAxFB/wv7R9sqRxFJ+rD6Qs/mT76Cr5TiHjC3zJa22vqMhjaM495AaUpud2kbQj8D7gDOCLmddD0hbA24GPAdheBazKPT+EEHqcgdaN8loDnGB7jqSRwGxJM4DtgIOAibZXSirPaveQ7d0y8s75At/pj8AbK/bdXmXfBnJHeS0lPRXfhHOBk9nwAZljJP07RVPYCbafqTg+niKi/iANApgNHFe5gpiko4CjAMaOHdtkEUMIoTmteg7F9mLSMuu2l0laSPEl/lPAVNsr07ElrbniS0l6ebreZpJ2Z31b3hZktg7lzuU1QdJNkuan9xMlfTnjvAOAJVVGDZwP7ALsRvED/GaV0wdRRMTzbe9OMQXAKZWJbE+zPcn2pNGjR+fcTgghtI4zty5IzVm7A3cAEyimvrpD0i2S9igl3VnS3Wn/3nWyPEbSvZKmpym0qvkX4GxgR+BbFJ/L36RoWTotp9y5iyFfSPFg42oA2/cCH8k4by/gQEmLgCuB/SRdZvsJ22ttd6S831zl3EeBR23fkd7/lIwqVwgh9Corb4NRkmaVtqOqZSdpBHA1cLzt5yi+XG8F7AmcBFylYoTUYmBs+sL9ReDHqaugUs4XeGxfYntf4GO29y1tB9q+JudHkduHsrntOytGeTV80MX2qRSBCEn7ACfaPlzSmFS9AzgE2GBySdv/J+kRSa+2/QDwTuC+zPKGEEKvUH7tY6ntSXXzKmZxvxq4vPQh/ihwjW0Dd0rqAEbZfhLobAabLekhitrMrHKetp8o5X8hcH29Mti+WtL7gF0prcZr+6uNbjA3oCyVtAup4ibpUFJbX5POlLRbym8R8OmU7/bARbb3T+mOBS5PI7weBj7ejWt22Zs/1nByTQDu/GH2WINN2i5n591vx9C8/0E+ILOzcljeWIvR2z7bMM02g/JGs69Yk/en//yLWYNbWL0qL7+1metwDR6+Oivd0MF5C2yNGJz3M371sLz/1nsMHdw4EXD/6ucbJwJmP7ljwzSbPZL3M55z/hey0umCFvy/baI5q5ZU67gYWFgxs++1wH7ATEkTgCEUn8mjgadtr03TYb2K4nOyMt+GX+Ar0l9A0WeyL8VjG4cCd+bcQ25A+RwwDXiNpMcoxiV3qZPe9kxgZnpddf0U248D+5fezwXqRvQQQth41MpRXntRrC01T9LctO80YDowPfVhrwKOsO30cPlXJa2heC7waNtPA0i6CLjA9ixqfIGv459tT5R0r+2vSPom0Jomr/RQ4mdsvyvN5TXA9rKczEMIoe21bpTXbdR+SvLwKumvpmgeq5bXkaXXXV0AsfMZlBdSq9FTwM45JzYMKKk69ab0Oq/+GkII/UWbTb0C/CLNUnIWMIfiDi/MOTG3yevutHrXT3jpCl5Z1aAQQmhLbbbAVlrq/Sbb/wCulnQ9MMx24w5M8gPK1hTVnvJ8+CazXS2EENpVF0Z5bfJsd6Q+k7em9ytJI8ly5D4p36ujq0IIoc9oo4CS/EbSB1g/VDlb7noo36my+1lglu2fd+WCIYTQTtqphpJ8ERgOrJX0IsVAAduu9tDkS+Q+KT+M4inLB9M2kaIZ7JOSzm2iwCGE0B7yn5TvE2yPtD3A9mDbW6T3DYMJ5PehvBLYz/YaAEnnU8w4/G5gXlOlDiGEvq6FDzZuKtIDlocBO9s+PU2rP8Z2w4cbc2soO1BUgToNB7a3vZYudNiEEELb6YHJITey71F0yv9ber8cOC/nxNwaypnAXEkzKdrT3g58LT3o+NsuFTWEENpIG/ahvMX2GyXdDWD7mTT9VUO5o7wulnQDxazAoljx6/F0+KRmShxCCG0hc362PmR1miGlc+7G0WTeZe56KKKY7fcNtq8FBkmqNuV8CCH0G3L+1od8B/gZsJ2kM4DbgK/lnJjb5PU9igi1H/BVYBnFHDJ71DsphBDaXh8awZXD9uWSZlNUIgAOtr0w59zcgNJ0m1oIIbS1vlX7yLU50NnstVnuSbmjvJpuUwshhHbWbk1ekv4LuITiWcNRwA9ylnyH/BpKZ5vatqlN7VAg6wJ92cot86qyuQtxDVyZ91e1amRenJ89LW8hoVdcdFZWuqHjVjROBIzIXBBraOZiVwMH5H032Xbz5Q3TrOoYmHnNvAr2gMyvny8MzMtv9eC88q1+Me+/5lajXshK99iyl2Wl++Nmr8xKd9WSWsuSv9Tsv4zNSrfTzxrf7+g/L83Ki6/kJWuZPhQsMn0U2N32CgBJUylmHf6fRifmjvIqt6mJLrSphRBC2zKo/dpqFlHMjtL5DXMo8FDOiXUDiqStS2+XAFeUj3WuDhZCCP1W+9VQVgILJM2guLt3A7d1zulo+/O1TmxUQ5mdMhQwFngmvd4S+DuZq3iFEEK76kv9I5l+lrZOM3NPrBtQbO8M6xatv872Den9e4F3dbmYIYQQNmm2L2n23NxRXnt0BpN0wV8B72j2oiGE0DZaNJeXpJ0k3SxpoaQFko4rHTtW0gNp/5lp3zhJL0qam7YLauS7taQZkh5M/9YdUSHpAEl3S3pa0nOSlkl6LudHkTvKa2kaNnYZxY/mcIoVHEMIof9qbaf8GuAE23MkjQRmp36M7YCDgIm2V0ratnTOQ7Z3a5DvKRTL+k6VdEp6/6U66c8F/h8wr6sLbOXWUD4KjGZ929rotC+EEPq3FtVQbC+2PSe9XgYspJjp/TPA1LQcL7aXdLGEB1E8V0L69+AG6R8B5nc1mED+sOGngeMaJgwhhH5EdKlTfpSkWaX302xPq5qvNA7YHbgDOAvYOz0DuAI40fZdKenOaQaT54Av2761Snbb2V4MRdCqqOFUczJwg6RbKC1PYrvhA3eNhg1PsT2lu2lCCKFt5QeUpbYnNUokaQTFXInH235O0iBgK2BPivkTr5I0HlgMjLX9lKQ3AddK2tV2Vn9HHWdQrIEyDOjSFFuNaihHNuiMEfARYEpXLhpCCG2hxdOqSBpMEUwut31N2v0ocE1qgrpTUgcwyvaTpBqE7dmSHgImALMqsn1C0phUOxlD8UxhPVvbfk8z5W/Uh3IhMLLONiKlCSGE/ql1o7wEXAwsrGheupZipnckTaCoNSyVNDrNsUiqsbwKeLhK1tcBR6TXRwA/b1CU30pqKqA0eg6lt2fFCSGEPqWFo7z2AiYD8yTNTftOA6YD0yXNB1YBR9i2pLcDX5W0BlgLHN05e4mki4ALbM8CplI0k32S4oH0DzYox+eAkyWtStcTYNtbNLqB3GHDIYQQqmlRk5ft2yg+vKs5vEr6qymax6rldWTp9VOsX9skpxwjc9NWyh02HEIIoVJuc1cfmp5FhcMl/Wd6v1PuCr0RUEIIoRvabT0UihV63wr8W3q/HDgv58SsJq/UEXQ+xXjm10uaCBxou+H8+On8gRQjDx6zfYCkKcCngCdTktPKU7vUOzfneq3y4qi8dCu2yVwCNHOp0I7MgXo7f/ebWekGbr06K92woXnplHm7azryvq+sWpu3RsiifzReg2PV6rxWXGX+Dx84IC9d9iNgmelGbbMsK11H5t/UkEFrstLduniXrHRPP5q3vsqOv84r34i5jzdM86u/5q071Ov6VrDI0fQKvbk1lAuBU4HV6QL3UgwXznUcxVOfZefY3i1tVYNJnXNDCGGT0IY1lKZX6M0NKJvbvrNiX9ZXHkk7Au8DLsq8VkvODSGEHmeKj9qcre+oXKH3NuDrOSd2ZXLIXVgfsQ6leEozx7kUj/JXjhw4RtK/UzRnnWD7mS6cG0IIG52oPSyrr+rOCr25NZTPAd8HXiPpMeB4ignL6pJ0ALDE9uyKQ+cDuwC7UQSmDToD6pxbme4oSbMkzXryySfrJQ0hhNZrv1Fel9q+3/Z5tr9re6GkS3POzZ0c8mHgXZKGAwPSTJg59gIOlLQ/xbwwW0i6zPa6MdWSLgSub+bcVLZpwDSASZMm9aFfWwihHfSx/pEcu5bfpP6UN+Wc2GhyyC/W2A80nn3S9qkUnflI2odilszDO+eVSckOAebnnlvveiGE0OvaJKBIOpXiyfzNSnM4iuJp+aqzIldq1OTVOWfXJIomrh3SdjTwuibK3OlMSfMk3QvsC3wBQNL2kuqN+AohhE1HWmArZ9vU2f56ekr+LNtbpG2k7W3SF3wAJO1aK4+subwk/QZ4Y2dTV3qO5CddLOxM0mL3tifXSPM4sH+9c0MIYZPSJjWUTuXgUcOlwBurHcgd5TWWotrTaRUwLvPcEEJoW23Yh9JIzYFtuQHlUop5+H9GEY8PAX7UgoKFEELf1v8CSs07zh3ldYakXwF7p10ft313K0oWQgh9WT+sodSUO5fXWGApxdOT6/bZ/ntPFSyEEDZ5fewZk0bSIl872n6kTrJVtQ7kNnn9kvU/ts2AnYEHqBivHEII/YnoGyO4cqWFu66lznMntvesdSy3yeufyu8lvRH4dGYZQwihfbVRDSX5k6Q9bN/V1RObWrHR9hxJezRzbgghtBNlr13QZ+wLfFrS34DnWb8E8MRGJ+b2oZSfmB9AMQY5Js4KIfRvbdaHkry32RNzayjl2X7XUPSpVF3LuJ2s2mZtXsKBmX9RQ/IaW92RN3/pgOfzFqbqWJM3B+iKlYOz0uVOr7pmZWb5VuWly7muBuX9jAcOzvvdDhmStzDVsMx0ZKYbMiivfGud97tdm7nY2T+e3Twr3eCn8z46Bq7IW7StY5stGqZ594APZuU1o6NLz1x3W6tGeUnaieJxjJdTTHg/zfa307FjgWNIn7+2Ty6dNxa4D5hi++wq+U4hY0FDSVvYfg7InatxA7kB5T7bL/ktSfogXXxaPoQQ2k0LO+XXUCzlMUfSSGC2pBnAdsBBwETbKyVtW3HeOcCvGuR9TrVgU+HHwAHAbIp6V/krnIHxjW4gN6CcyobBo9q+EELoX1pUQ0kT5i5Or5dJWkgxd+KngKm2V6ZjSzrPkXQw8DBFX0d3r39A+nfnZvNoNNvweynm1tpB0ndKh7Ygc8XGEEJoW11b3neUpFml99PS8hsbkDQO2B24AzgL2DutnriCYub1u9JyIl8C3g2c2ODaOQsalq+/FfAqiqVDALD9+wbXaFhDeTwV4ECKalCnZaQZgkMIoV/LDyhLbU9qlEjSCIo+6uNtPydpELAVsCewB3CVpPHAVyiaspZ3LilSw/nA6amkp1MsaPiJOtc/EjgO2BGYm657O7Bfo7I3mm34HuAeSZfbjhpJCCGUiNZOvSJpMEUwudz2NWn3o8A1tk0xp2IHMAp4C3CopDOBLYEOSStsf7ecp+0nSvnXWtCw7DiKwPUn2/tKeg1F8GqoUZPXVbY/BNwtbfhjyxmXHEIIba1Fz6GkaU8uBhZWLF54LUXtYKakCcAQitrO3qVzpwDLK4NJOtZwQcMKK2yvkISkobbvl/TqnHto1OR1XPr3gJzMQgihX3FLR3ntBUwG5kmam/adBkwHpkuaTzGP1hGptlKTpIuAC2zPoljQcLeitCyi8Swnj0rakiKQzZD0DEX3R0ONmrw6o9pnbX+posDfoOgQCiGEfqtVAcX2bdR+2qru8ue2p1S8P7L0uuqChnXyOiS9nCLpZuBlwK9zzs172qkYRVCp6acpQwihbThz64Ns32L7Ots1Zxgua9SH8hngs8D4tP57p5HAH5ovZgghtIdYD2W9Rn0oP6Z4AvPrwCml/ctsP91jpQohhL7AtKxTvh006kN5FngW+ChAeuR/GDBC0ohYYCuE0N9FDWW9rD4USe+X9CDwV+AWipECjeaOCSGEtta5wFbO1h/kdsr/D8XTkn9O87y8k+hDCSH0d3b+1g/kBpTVtp8CBkgaYPtmYLeeK1YIIfQNct7WH+TONvyPNL/M74HLJS0hJocMIYQ+OyS4J+QGlIMoZrn8AnAYxYMuX+2pQm0qFn2m0QSehfE//lpWusHD8mLwoIF5Da4DRm2cv+TchbjWvpCXTqsyV+zKWIfLQ/Ly6sj8ytgxKK8SPzCzkXzggNb+zp5fNSQr3bPLNstKt/b5vN/ZkBVZyVg7LLMRpP7khgAMGDqsYZqNob/UPnJkBRTb5bn2L+mhsoQQQt9iYG1ElE6NHmxcRvUKXeei9Y3X7QwhhDYWNZT1Gj2HMrLe8RBC6Pf6yQiuHLl9KCGEEKqIGsp6EVBCCKFZfXjix56Q+xxKt0gaKOluSden91MkPSZpbtr2r3LOTpJulrRQ0gJJx22YcwghbDzFio3O2vqD3qqhHAcsBMqd+OfYPrvOOWuAE2zPkTQSmC1phu37erKgIYTQFYpRXuv0eA1F0o7A+4CLunKe7cW256TXyygC0g6tL2EIITQpdy2UfhJzeqPJ61zgZKDyya9jJN0rabqkreplIGkcsDtwR4+UMIQQmhJzeZX1aECRdACwxPbsikPnA7tQzAe2GPhmnTxGAFcDx9t+rsrxoyTNkjTrySefbFnZQwghR8zltV5P11D2Ag6UtAi4EthP0mW2n7C91nYHcCHw5monSxpMEUwut31NtTS2p9meZHvS6NGje+YuQgihlhbVUOoNRJJ0rKQH0v4zK84bK2m5pKpzRUnaWtIMSQ+mf+u2CHVHjwYU26fa3tH2OOAjwO9sHy5pTCnZIcD8ynMlCbgYWGj7Wz1ZzhBCaIpbuh5K50Ck11IsF/I5Sa+TtC/FfIoTbe8KVA5mOof661OdAtxk+1XATbx09d2W6pVhw1WcKWleWqd+X4pJJ5G0vaQbUpq9gMkUtZqaw4tDCGGj6nDe1kCdgUifAabaXpmOLek8R9LBwMPAgjpZH8T6ORgvAQ7u8j1m6rUHG23PBGam15NrpHkc2D+9vo1imHcIIWyyuvCMyShJs0rvp9meVjXPlw5EOgvYW9IZFLO+n2j7LknDgS8B7wbqTY2+ne3FUASttJR7j4gn5UMIoTvyA8pS25MaJaociCRpELAVRTPYHsBVksYDX6F4nm+5Mqb/7w0RUOoY96NvZKUbOiJvnZNRI59vnAgYtVleumED86773OqhWen+sSJvzYwBA/IahNeuzmtR7RicsdAJ5I3lb/H/K+Wum5J54aGZv7MBmde18667dlXez3jokryPhM0XZyVj5cvy/gY2u3aDbtQNzOj4Sd5Fe5PZ8IGIbqgxEOlR4BrbBu6U1AGMAt4CHJo66bcEOiStsP3dimyfkDQm1U7GAEvoIRFQQgihSaJ106rUGYh0LbAfMFPSBGAIRW1n79K5U4DlVYIJwHXAEcDU9O/PW1LgKjZWp3wIIbSHjo68rbFaA5GmA+Mlzad4/OKIVFupSdJFkjqb16YC75b0IEV/y9Rmb7WRqKGEEEKzWtjk1WAg0uENzp1S8f7I0uungHd2t3w5IqCEEEI39JeZhHNEQAkhhO6IgLJOBJQQQmha/5n4MUcElBBCaJaJgFISASWEELohFthaLwJKCCF0R9RQ1omAEkIIzTJZEz/2FxFQQgihadEpXxYBJYQQuiMCyjoRUEIIoTsioKwTASWEEJplw9q1G7sUm4wIKCGE0B1RQ1knAkoIITQrRnm9RFsFlHlPPsG4753dOOHwvCrqkOGrstJtNfzFrHQ7jng2K93IwSuy0j3x4sisdEufH56V7ulnR2Sly/1CtsXL8n4uK1fl/RmuWdN4kajcsg0clDdF7NAheQtiDRmY9zc1fHDe39Tzq4dkpVuzNm8FCmemG/RCVrLshcw6BuclHPjaCZkX3gRFDWWdtgooIYTQ6yKgrBMBJYQQmhWd8i8RASWEELojaijrREAJIYTuiICyTqwpH0IITXMxyitna0DSTpJulrRQ0gJJx5WOHSvpgbT/zLTvzaW15++RdEiNfKdIeqxinfoeETWUEEJolsFu0aLysAY4wfYcSSOB2ZJmANsBBwETba+UtG1KPx+YZHuNpDHAPZJ+Ybva0MRzbGcMge2eCCghhNAdLXoOxfZiYHF6vUzSQmAH4FPAVNsr07El6d/yIO9hFE/FbFTR5BVCCM3qHOWVs3WBpHHA7sAdwARgb0l3SLpF0h6ldG+RtACYBxxdo3YCcIykeyVNl7RVU/eaIQJKCCF0h523wShJs0rbUdWykzQCuBo43vZzFC1JWwF7AicBV0lScWnfYXtXYA/gVEnDqmR5PrALsBtFDeibLb3/kmjyCiGEbnBHdh/KUtuT6iWQNJgimFxu+5q0+1HgGtsG7pTUAYwCnlxXBnuhpOeB1wOzXlI++4lS/hcC1+cWuKuihhJCCE3LrJ1kDC1OtY6LgYW2v1U6dC2wX0ozARgCLJW0s6RBaf8rgFcDi6rkO6b09hCKzvweETWUEEJoVmsnh9wLmAzMkzQ37TsNmA5MlzQfWAUcYduS3gacImk10AF81vZSAEkXARfYngWcKWm3VNpFwKdbVeBKEVBCCKFJBtyiqVds30btaTcPr5L+UuDSGnkdWXo9uSUFzNArTV6SBkq6W9L16X3WgzaS/jU9zPMXSaf0RllDCCGbDe7I2/qB3qqhHAcsBLYo7av7oI2kgcB5wLspOqXuknSd7ft6tKQhhNAFjvVQ1unxGoqkHYH3ARd18dQ3A3+x/bDtVcCVFE+LhhDCpiNqKOv0Rg3lXOBkoHI1qGMk/TvFELcTbD9TcXwH4JHS+0eBt1RmnsZyd47nXv63z530QEaZRgFLM9K11B29fcH1Nsr9biT96V6hH92v9LVW3+srupvBMp658bf+6ajM5G3/e+rRgCLpAGCJ7dmS9ikdOh84naJP63SKB20+UXl6lSw3qFvangZM62K5ZjUaD95O+tP99qd7hf51v5vivdr+141dhk1JT9dQ9gIOTJ3uw4AtJF1me92IhToP2jwK7FR6vyPweE8WNoQQQvN6tA/F9qm2d7Q9DvgI8Dvbh2c+aHMX8Kr08M6QdP51PVneEEIIzdtYz6FUfdBG0vbARbb3T1MyHwPcCAwEptte0KLrd6mJrA30p/vtT/cK/et++9O99klyrDYWQgihBWIurxBCCC0RASWEEEJLtG1AkfS/paldFpUmW+s8PlbSckkn1ji/19ZhboUW3O/WkmZIejD922OL8HRXrXvdFNfYboUW3G87/G7fLWm2pHnp3/1qnN+nfrftpl/0oUj6JvCs7a+W9l1NMUPnHdWmgJE0BVjeG+swt1qT93sm8LTtqWnetK1sf6nXCt2k8r1K2hxYVV5jG9i+chW7dvndduF+2+F3uzvwhO3HJb0euNH2DlXOmUIf/d22g7afbViSgA+R1hNI+w4GHgae30jF6jHduN+DgH3S60uAmcAm/aFTea+b4hrbrdSN+22H3+3dpcMLgGGShnausx42DW3b5FWyN8U3mwcBJA2n+M/0lYxze2Ud5hZr9n63s70YIP27bY+WsjVecq+w6a2x3WLN3m9b/G5LPgDcXSeY9MXfbVvo0wFF0m8lza+ylSeR/ChwRen9VyhmOl7eIPteW4c5Vw/f7yalyXvd5NbYztXD97tJafZe07m7At+g9iJRm9zvtl+x3bYbRZPeE8COpX23UjxMuQj4B/A0cEyDfMYB8zf2/fTk/QIPAGPS6zHAAxv7frp6r1XS3AxMatffbe79tsvvlmL6pT8De2Xm0yd+t+209ekaSoZ3AffbfrRzh+29bY9zMR3MucDXbH+38kT14jrMLdT0/VJMa3NEen0E8PMeLmt3bXCv2gTX2G6hpu+X9vjdbgn8EjjV9h9qndhHf7dto90DykeoUm2uRdJFkjpnMz0zDVG8F9gX+EJPFLDFunO/U4F3S3qQYlGzqT1Qvlaqdq9vA+5JQ01/RsUa2234u82933b43R4DvBL4z9KQ4G2hLX63baNfDBsOIYTQ89q9hhJCCKGXREAJIYTQEhFQQgghtEQElBBCCC0RASWEEEJLREAJIYTQEhFQ+hlJLZ+CRdKBaRZbJB0s6XVN5DGz9CxBbvoHJB1Y5dg4Sf3mgTZJp5Veb5ae0VgladTGLFfofyKghG6zfZ3tzoflDga6HFCadJjt63ryApIG9mT+LbIuoNh+0fZuwOMbrzihv4qA0k+pcFaalG+epA+n/fukb/8/lXS/pMvTVOJI2j/tu03SdyRdn/Z/TNJ3Jf0zcCBwVvqWvEu55iFplKRF6fVmkq5Ms8L+L7BZqWzvkXS7pDmSfiJpRMb9vEnFIlO3A58r7R+Y7vOudK1Pp/0DJH1P0gJJ10u6QdKh6dgiSf8l6Tbgg7XKk655i4oFn27snPZD0ucl3Zeud2WdMg9XMSPuXZLuVpocMdWwbk3Xm5N+rkgaI+n36Wc7X9LekqYCnbWSy7N++SH0lI09mVhsvbtRLD4ExRTgM4CBwHbA3ykmDtwHeJZiIr4BwO0UU3wMAx4Bdk7nXwFcn15/DPhuev1D4NDS9WaSJiwERgGL0usvAtPT64nAGmBSSvN7YHg69iXgv6rcx7p80/t7gXek12eRJgUEjgK+nF4PBWYBOwOHAjeke3w58ExnuSnmwzq5VOYNygMMBv4IjE77P1y6n8eBoen1lnV+F18DDu9MRzHx4XBgc2BY2v8qYFZ6fQLwH+n1QGBk+XdakfciYNTG/nuLrX9tbb/AVqjpbcAVttcCT0i6hWIK9OeAO50m5kvzRI0DlgMP2/5rOv8Kig/rZr0d+A6A7XvT3EsAe1I0mf0hVYyGUAS1miS9jOKD+5a061Lgven1e4CJnbUP4GUUH9JvA35iuwP4P0k3V2T7vw3K82rg9cCMtH8gxXTpUAS3yyVdC1xbp+jvAQ7U+mWZhwFjKQLSdyXtBqwFJqTjdwHTJQ0GrrU9t07eIfS6CCj9l+ocKy9ctJbi76Re+nrWsL5ptXKtjmoTyQmYYfujXbiGauTVeexY2ze+ZKf0vgZ5dq5uWbU8kv4JWGD7rVXOfR9FwDyQYjLDXV194SsBH7D9QEXeUyimb38Dxc9uBYDt30t6e8r/Ukln2f5Rg/sIoddEH0r/9Xvgw6mPYTTFB+CdddLfD4yXNC69/3CNdMuAkaX3i4A3pdeHlvb/HjgMQMUa4RPT/j8Be0l6ZTq2uaQJ1GH7H8Czkt6Wdh1WOnwj8Jn0rR5JE1SsYnkb8IHUl7Id65fIrVSrPA8AoyW9Ne0fLGlXSQOAnWzfDJxM0ZRVqw/oRuDYUh/V7mn/y4DFqfY0maL20zlF/RLbFwIXA29M6Vd33l8IG1MElP7rZxRNM/cAv6PoM/i/Woltvwh8Fvh16qx+gqKvpdKVwEmpk3kX4GyKD/Q/UvRHdDofGJGauk4mBTPbT1L0yVyRjv0JeE3G/XwcOC91yr9Y2n8RcB8wR8VQ4u9T1LiuBh6lWC/j+8Ad1e6nVnlsr6IIkN+QdA8wF/hnig//yyTNA+6mWC3zHzXKfDpFX8y9qWynp/3fA46Q9CeK5q7O2tI+wFxJd1P0gX077Z+W8ohO+bBRxfT1IZukEbaXp2/U5wEP2j5nI5VlJnCi7VndyKPzfrahCGh71QuqfUkaTTfJaX2UEHpD1FBCV3wqddIvoGiW+f5GLMvTwA9V5cHGLrg+3c+twOntEEyUHmykqPl0bOTihH4maigh9DBJHweOq9j9B9ufq5Y+hL4qAkoIIYSWiCavEEIILREBJYQQQktEQAkhhNASEVBCCCG0xP8PWwjh1pCEVZ8AAAAASUVORK5CYII=\n", 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" ] @@ -572,7 +475,7 @@ }, { "cell_type": "markdown", - "id": "female-stopping", + "id": "53347a2f", "metadata": {}, "source": [ "## Averaging over polygons\n", @@ -588,15 +491,8 @@ { "cell_type": "code", "execution_count": 12, - "id": "important-exemption", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:16.023653Z", - "iopub.status.busy": "2021-04-12T18:49:16.023223Z", - "iopub.status.idle": "2021-04-12T18:49:18.860333Z", - "shell.execute_reply": "2021-04-12T18:49:18.859461Z" - } - }, + "id": "1fb071e9", + "metadata": {}, "outputs": [], "source": [ "# Basic example, let's simply reuse the same geojson:\n", @@ -607,31 +503,12 @@ { "cell_type": "code", "execution_count": 13, - "id": "faced-appreciation", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:18.874162Z", - "iopub.status.busy": "2021-04-12T18:49:18.872241Z", - "iopub.status.idle": "2021-04-12T18:49:19.106551Z", - "shell.execute_reply": "2021-04-12T18:49:19.106166Z" - } - }, + "id": "4145a748", + "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ]" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -651,15 +528,8 @@ { "cell_type": "code", "execution_count": 14, - "id": "finite-upper", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:19.113003Z", - "iopub.status.busy": "2021-04-12T18:49:19.112539Z", - "iopub.status.idle": "2021-04-12T18:49:19.122904Z", - "shell.execute_reply": "2021-04-12T18:49:19.122450Z" - } - }, + "id": "17f66982", + "metadata": {}, "outputs": [ { "data": { @@ -1024,18 +894,18 @@ " * geom (geom) int64 0 1 2\n", " RES_NM_REG (geom) object 'Laval' 'Montérégie' 'Montréal'\n", "Data variables:\n", - " tasmin (time, geom) float64 264.7 nan 265.6 260.9 ... 266.3 nan 268.2
    • " ], "text/plain": [ "\n", @@ -1050,7 +920,7 @@ " tasmin (time, geom) float64 ..." ] }, - "execution_count": 1, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1062,7 +932,7 @@ }, { "cell_type": "markdown", - "id": "hawaiian-cardiff", + "id": "d4dd19a2", "metadata": {}, "source": [ "### High-resolution polygons\n", @@ -1073,15 +943,8 @@ { "cell_type": "code", "execution_count": 15, - "id": "opponent-configuration", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:19.127775Z", - "iopub.status.busy": "2021-04-12T18:49:19.127335Z", - "iopub.status.idle": "2021-04-12T18:49:24.862196Z", - "shell.execute_reply": "2021-04-12T18:49:24.861765Z" - } - }, + "id": "f1cf3b5f", + "metadata": {}, "outputs": [ { "data": { @@ -1148,7 +1011,7 @@ "1 Ontario Ontario Ont. Ont. " ] }, - "execution_count": 1, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1171,15 +1034,8 @@ { "cell_type": "code", "execution_count": 16, - "id": "governing-tamil", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:24.865647Z", - "iopub.status.busy": "2021-04-12T18:49:24.865238Z", - "iopub.status.idle": "2021-04-12T18:49:26.251175Z", - "shell.execute_reply": "2021-04-12T18:49:26.250520Z" - } - }, + "id": "fb9d62c1", + "metadata": {}, "outputs": [], "source": [ "# Create a Dataframe with simplified polygons\n", @@ -1190,67 +1046,47 @@ { "cell_type": "code", "execution_count": 17, - "id": "emerging-cosmetic", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:26.262413Z", - "iopub.status.busy": "2021-04-12T18:49:26.261853Z", - "iopub.status.idle": "2021-04-12T18:49:32.136984Z", - "shell.execute_reply": "2021-04-12T18:49:32.136267Z" - } - }, + "id": "2432e65f", + "metadata": {}, "outputs": [], "source": [ "# Write polygons to geojson files.\n", - "poly_file = Path('prov_simp.geojson')\n", + "poly_file = Path('/tmp/prov_simp.geojson')\n", "poly_simple.to_file(poly_file, driver='GeoJSON')\n", "\n", "# Write the unsimplfied version for comparison only\n", - "all_shapes.to_file('prov_raw.geojson', driver='GeoJSON')" + "all_shapes.to_file('/tmp/prov_raw.geojson', driver='GeoJSON')" ] }, { "cell_type": "code", "execution_count": 18, - "id": "leading-silicon", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:32.142247Z", - "iopub.status.busy": "2021-04-12T18:49:32.141492Z", - "iopub.status.idle": "2021-04-12T18:49:32.282730Z", - "shell.execute_reply": "2021-04-12T18:49:32.283523Z" - } - }, + "id": "e0b8ff61", + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "96K\tmtl_raw.geojson\r\n", - "16M\tprov_raw.geojson\r\n", - "800K\tprov_simp.geojson\r\n" + "96K\t/tmp/mtl_raw.geojson\n", + "16M\t/tmp/prov_raw.geojson\n", + "800K\t/tmp/prov_simp.geojson\n" ] } ], "source": [ + "# NBVAL_IGNORE_OUTPUT\n", "# As we can see, the simplified version is way smaller than the raw.\n", "# Finch will not accept inputs larger than 3 Mo (raises \"BrokenPipe\" error)\n", "# But even with ~2 Mo, the process is to slow and might time out\n", - "!du -hs *.geojson" + "!du -hs /tmp/*.geojson" ] }, { "cell_type": "code", "execution_count": 19, - "id": "bearing-ensemble", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:32.292532Z", - "iopub.status.busy": "2021-04-12T18:49:32.291100Z", - "iopub.status.idle": "2021-04-12T18:49:42.305073Z", - "shell.execute_reply": "2021-04-12T18:49:42.305521Z" - } - }, + "id": "98b869f0", + "metadata": {}, "outputs": [], "source": [ "resp = wps.average_polygon(\n", @@ -1265,15 +1101,8 @@ { "cell_type": "code", "execution_count": 20, - "id": "prompt-banana", - "metadata": { - "execution": { - "iopub.execute_input": "2021-04-12T18:49:42.317322Z", - "iopub.status.busy": "2021-04-12T18:49:42.316716Z", - "iopub.status.idle": "2021-04-12T18:49:42.364712Z", - "shell.execute_reply": "2021-04-12T18:49:42.364105Z" - } - }, + "id": "f61f93b7", + "metadata": {}, "outputs": [ { "data": { @@ -1643,18 +1472,18 @@ " PREABBR (geom) object 'Que.' 'Ont.'\n", " PRFABBR (geom) object 'Qc' 'Ont.'\n", "Data variables:\n", - " tasmin (time, geom) float64 nan 262.2 nan 259.7 ... nan 255.9 nan 265.9
    • tasmin
      (time, geom)
      float64
      ...
      array([[       nan, 262.163031],\n",
+       "       [       nan, 259.651348],\n",
+       "       [       nan, 266.146687],\n",
+       "       [       nan, 271.360387],\n",
+       "       [       nan, 262.576608],\n",
+       "       [       nan, 260.14709 ],\n",
+       "       [       nan, 255.935185],\n",
+       "       [       nan, 265.850208]])
    • " ], "text/plain": [ "\n", @@ -1674,7 +1503,7 @@ " tasmin (time, geom) float64 ..." ] }, - "execution_count": 1, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1702,7 +1531,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.7.10" } }, "nbformat": 4,