deploy: 8063b2f

README.html

@@ -230,6 +230,11 @@
    Taylor Diagrams
   </a>
  </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/skewt.html">
+   Skew T Diagrams
+  </a>
+ </li>
 </ul>
 <p aria-level="2" class="caption" role="heading">
  <span class="caption-text">
@@ -526,6 +531,10 @@ <h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-
 </div>
 <div class="toctree-wrapper compound">
 </div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
 </div>
 
     <script type="text/x-thebe-config">

_sources/notebooks/animation.ipynb

@@ -0,0 +1,238 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Animation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "source": [
+    "time stamp at 1:19"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "NCL_animate_1\n",
+    "\n",
+    "Please note:\n",
+    "   - Executing this script will not display a gif, but you have the option to uncomment a line at the bottom that will save a gif in the same directory as this script.\n",
+    "\n",
+    "[GeoCAT-examples](https://geocat-examples.readthedocs.io/en/latest/gallery/Animations/NCL_animate_1.html)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import packages:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import cartopy.crs as ccrs\n",
+    "import matplotlib.animation as animation\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "from matplotlib import pyplot as plt\n",
+    "\n",
+    "import geocat.datafiles as gdf\n",
+    "import geocat.viz as gv"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Read in data:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Open a netCDF data file using xarray default engine and load the data into xarrays\n",
+    "# Disable time decoding due to missing necessary metadata\n",
+    "ds = xr.open_dataset(gdf.get(\"netcdf_files/meccatemp.cdf\"), decode_times=False)\n",
+    "\n",
+    "tas = ds.t\n",
+    "tas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create animation:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Set up Axes with Cartopy Projection\n",
+    "fig = plt.figure(figsize=(10, 8))\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=150))\n",
+    "ax.coastlines(linewidths=0.5)\n",
+    "ax.set_extent([-180, 180, -90, 90], ccrs.PlateCarree())\n",
+    "\n",
+    "# Use geocat.viz.util convenience function to set axes limits & tick values\n",
+    "gv.set_axes_limits_and_ticks(ax,\n",
+    "                             xlim=(-180, 180),\n",
+    "                             ylim=(-90, 90),\n",
+    "                             xticks=np.linspace(-180, 180, 13),\n",
+    "                             yticks=np.linspace(-90, 90, 7))\n",
+    "\n",
+    "# Use geocat.viz.util convenience function to add minor and major tick lines\n",
+    "gv.add_major_minor_ticks(ax, labelsize=10)\n",
+    "\n",
+    "# Use geocat.viz.util convenience function to make latitude, longitude tick labels\n",
+    "gv.add_lat_lon_ticklabels(ax)\n",
+    "\n",
+    "# create initial plot that establishes a colorbar\n",
+    "tas[0, :, :].plot.contourf(ax=ax,\n",
+    "                           transform=ccrs.PlateCarree(),\n",
+    "                           vmin=195,\n",
+    "                           vmax=328,\n",
+    "                           levels=53,\n",
+    "                           cmap=\"inferno\",\n",
+    "                           cbar_kwargs={\n",
+    "                               \"extendrect\": True,\n",
+    "                               \"orientation\": \"horizontal\",\n",
+    "                               \"ticks\": np.arange(195, 332, 9),\n",
+    "                               \"label\": \"\",\n",
+    "                               \"shrink\": 0.90\n",
+    "                           })\n",
+    "\n",
+    "\n",
+    "# animate function for matplotlib FuncAnimation\n",
+    "def animate(i):\n",
+    "    tas[i, :, :].plot.contourf(\n",
+    "        ax=ax,\n",
+    "        transform=ccrs.PlateCarree(),\n",
+    "        vmin=195,\n",
+    "        vmax=328,\n",
+    "        levels=53,\n",
+    "        cmap=\"inferno\",\n",
+    "        add_colorbar=False,\n",
+    "    )\n",
+    "\n",
+    "    gv.set_titles_and_labels(\n",
+    "        ax,\n",
+    "        maintitle=\"January Global Surface Temperature (K) - Day  \" +\n",
+    "        str(tas.coords['time'].values[i])[:13],\n",
+    "        xlabel=\"\",\n",
+    "        ylabel=\"\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "source": [
+    "### Run:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# runs the animation initiated with the frame from init and progressed with the animate function\n",
+    "anim = animation.FuncAnimation(fig, animate, frames=30, interval=200)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "source": [
+    "### Save:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# Uncomment this line to save the created animation\n",
+    "anim.save('images/animate_1.gif', writer='pillow', fps=5);"
+   ]
+  }
+ ],
+ "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}