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@willirath
Last active November 30, 2022 15:15
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Plot cape verde turtles on a map.
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{
"cells": [
{
"cell_type": "markdown",
"id": "98b7812a-3e3c-417f-b6c8-7d2e95994d1e",
"metadata": {},
"source": [
"To run on NESH (frontend), run\n",
"```shell\n",
"#!/bin/bash\n",
"\n",
"module load singularity/3.5.2\n",
"\n",
"# only necessary once:\n",
"singularity pull --disable-cache --dir \"${PWD}\" docker://quay.io/willirath/parcels-container:2022.07.14-801fbe4\n",
"\n",
"singularity run -B $PWD:/work --pwd /work parcels-container_2022.07.14-801fbe4.sif bash -c \\\n",
" \". /opt/conda/etc/profile.d/conda.sh && conda activate base \\\n",
" && papermill --cwd ${PWD} \\\n",
" plot_cape_verde_turtle_trajs_on_a_map.ipynb \\\n",
" plot_cape_verde_turtle_trajs_on_a_map_executed.ipynb \\\n",
" -k python\"\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "cc4608a5-1d32-4fb0-9e4f-996c8876fe61",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 31.2M 100 31.2M 0 0 1079k 0 0:00:29 0:00:29 --:--:-- 1140k\n"
]
}
],
"source": [
"!curl -O https://zenodo.org/record/6826071/files/cape_verde_drift_trajectories_1-10000_2003.csv.gz"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5174b65b-b63d-45b2-99ed-9590fa37fe5c",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from matplotlib import pyplot as plt\n",
"import cartopy"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "89c5627b-b898-4f73-b2b7-e8b28b7e53d8",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>island</th>\n",
" <th>obs</th>\n",
" <th>traj</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>time</th>\n",
" <th>temp</th>\n",
" <th>year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>15.983100</td>\n",
" <td>-22.635202</td>\n",
" <td>2003-08-13</td>\n",
" <td>-100.000000</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>16.055700</td>\n",
" <td>-22.571604</td>\n",
" <td>2003-08-14</td>\n",
" <td>-100.000000</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>16.103258</td>\n",
" <td>-22.597357</td>\n",
" <td>2003-08-16</td>\n",
" <td>-100.000000</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>16.000957</td>\n",
" <td>-22.858883</td>\n",
" <td>2003-08-17</td>\n",
" <td>-100.000000</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>15.800844</td>\n",
" <td>-22.707762</td>\n",
" <td>2003-08-17</td>\n",
" <td>-100.000000</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2405513</th>\n",
" <td>0</td>\n",
" <td>405</td>\n",
" <td>3766</td>\n",
" <td>19.221985</td>\n",
" <td>-49.873290</td>\n",
" <td>2004-10-27 00:00:00</td>\n",
" <td>28.132423</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2405514</th>\n",
" <td>0</td>\n",
" <td>406</td>\n",
" <td>2742</td>\n",
" <td>19.165895</td>\n",
" <td>-49.890667</td>\n",
" <td>2004-10-26 00:00:00</td>\n",
" <td>28.147676</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2405515</th>\n",
" <td>0</td>\n",
" <td>406</td>\n",
" <td>3136</td>\n",
" <td>19.241404</td>\n",
" <td>-49.873380</td>\n",
" <td>2004-10-26 00:00:00</td>\n",
" <td>28.130398</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2405516</th>\n",
" <td>0</td>\n",
" <td>406</td>\n",
" <td>3766</td>\n",
" <td>19.221985</td>\n",
" <td>-49.873290</td>\n",
" <td>2004-10-27 00:00:00</td>\n",
" <td>28.132423</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2405517</th>\n",
" <td>0</td>\n",
" <td>407</td>\n",
" <td>2742</td>\n",
" <td>19.165895</td>\n",
" <td>-49.890667</td>\n",
" <td>2004-10-26 00:00:00</td>\n",
" <td>28.147676</td>\n",
" <td>2003</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2405518 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" island obs traj lat lon time \\\n",
"0 0 0 0 15.983100 -22.635202 2003-08-13 \n",
"1 0 0 1 16.055700 -22.571604 2003-08-14 \n",
"2 0 0 2 16.103258 -22.597357 2003-08-16 \n",
"3 0 0 3 16.000957 -22.858883 2003-08-17 \n",
"4 0 0 4 15.800844 -22.707762 2003-08-17 \n",
"... ... ... ... ... ... ... \n",
"2405513 0 405 3766 19.221985 -49.873290 2004-10-27 00:00:00 \n",
"2405514 0 406 2742 19.165895 -49.890667 2004-10-26 00:00:00 \n",
"2405515 0 406 3136 19.241404 -49.873380 2004-10-26 00:00:00 \n",
"2405516 0 406 3766 19.221985 -49.873290 2004-10-27 00:00:00 \n",
"2405517 0 407 2742 19.165895 -49.890667 2004-10-26 00:00:00 \n",
"\n",
" temp year \n",
"0 -100.000000 2003 \n",
"1 -100.000000 2003 \n",
"2 -100.000000 2003 \n",
"3 -100.000000 2003 \n",
"4 -100.000000 2003 \n",
"... ... ... \n",
"2405513 28.132423 2003 \n",
"2405514 28.147676 2003 \n",
"2405515 28.130398 2003 \n",
"2405516 28.132423 2003 \n",
"2405517 28.147676 2003 \n",
"\n",
"[2405518 rows x 8 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"cape_verde_drift_trajectories_1-10000_2003.csv.gz\")\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d222e4d1-1dc0-4c94-a6d4-fa3e1b1bb452",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 648x504 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(\n",
" 1, 1, \n",
" # Choose projection: Mollweide reveals some curvature\n",
" subplot_kw={\"projection\": cartopy.crs.Mollweide()},\n",
" figsize=(9, 7),\n",
")\n",
"\n",
"df.plot.scatter(\n",
" # positions, sizes, coloring of the points\n",
" x=\"lon\", y=\"lat\", s=1, c=\"temp\",\n",
" # make sure to put on the ax object and to transform to \n",
" # the projection used internally by cartopy\n",
" ax=ax, transform=cartopy.crs.PlateCarree(),\n",
" # choose good color values and a nice colormap:\n",
" vmin=df.where(df.temp > 0).temp.min(),\n",
" vmax=df.where(df.temp > 0).temp.max(),\n",
" cmap=\"viridis\",\n",
")\n",
"\n",
"# zoom out a little\n",
"ax.set_extent((df.lon.min(), df.lon.max() + 20, df.lat.min() - 25, df.lat.max() + 5))\n",
"\n",
"# add geo features and a grid\n",
"ax.add_feature(cartopy.feature.BORDERS)\n",
"ax.add_feature(cartopy.feature.COASTLINE)\n",
"ax.add_feature(cartopy.feature.RIVERS)\n",
"ax.add_feature(cartopy.feature.LAND)\n",
"ax.gridlines();"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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