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Update plotting notebooks #107

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Merged
dcherian merged 1 commit into from
Jun 27, 2022
Merged

Update plotting notebooks #107

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9 changes: 1 addition & 8 deletions fundamentals/04.1_basic_plotting.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -46,14 +46,7 @@
"metadata": {},
"outputs": [],
"source": [
"ds = xr.tutorial.open_dataset(\"air_temperature.nc\").rename({\"air\": \"Tair\"})\n",
"\n",
"# we will add a gradient field with appropriate attributes\n",
"ds[\"dTdx\"] = ds.Tair.differentiate(\"lon\") / 110e3 / np.cos(ds.lat * np.pi / 180)\n",
"ds[\"dTdy\"] = ds.Tair.differentiate(\"lat\") / 105e3\n",
"ds.dTdx.attrs = {\"long_name\": \"$∂T/∂x$\", \"units\": \"°C/m\"}\n",
"ds.dTdy.attrs = {\"long_name\": \"$∂T/∂y$\", \"units\": \"°C/m\"}\n",
"\n",
"ds = xr.tutorial.open_dataset(\"air_temperature_gradient\")\n",
"ds"
]
},
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9 changes: 1 addition & 8 deletions fundamentals/04.2_faceting.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -40,14 +40,7 @@
"metadata": {},
"outputs": [],
"source": [
"ds = xr.tutorial.open_dataset(\"air_temperature.nc\").rename({\"air\": \"Tair\"})\n",
"\n",
"# we will add a gradient field with appropriate attributes\n",
"ds[\"dTdx\"] = ds.Tair.differentiate(\"lon\") / 110e3 / np.cos(ds.lat * np.pi / 180)\n",
"ds[\"dTdy\"] = ds.Tair.differentiate(\"lat\") / 105e3\n",
"ds.dTdx.attrs = {\"long_name\": \"$∂T/∂x$\", \"units\": \"°C/m\"}\n",
"ds.dTdy.attrs = {\"long_name\": \"$∂T/∂y$\", \"units\": \"°C/m\"}\n",
"\n",
"ds = xr.tutorial.open_dataset(\"air_temperature_gradient\")\n",
"monthly_means = ds.groupby(\"time.month\").mean()\n",
"# xarray's groupby reductions drop attributes. Let's assign them back so we get nice labels.\n",
"monthly_means.Tair.attrs = ds.Tair.attrs"
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2 changes: 1 addition & 1 deletion fundamentals/04.3_geographic_plotting.ipynb
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Expand Up @@ -41,7 +41,7 @@
"metadata": {},
"outputs": [],
"source": [
"ds = xr.tutorial.open_dataset(\"air_temperature.nc\").rename({\"air\": \"Tair\"})\n",
"ds = xr.tutorial.open_dataset(\"air_temperature_gradient\")\n",
"monthly_means = ds.groupby(\"time.month\").mean()\n",
"# xarray's groupby reductions drop attributes. Let's assign them back so we get nice labels.\n",
"monthly_means.Tair.attrs = ds.Tair.attrs"
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