Remove solutions from notebooks.

notebooks/Animation/Creating Animations.ipynb

@@ -476,52 +476,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %load solutions/animation.py\n",
-    "from netCDF4 import num2date\n",
-    "\n",
-    "# Load data\n",
-    "cat = TDSCatalog('http://thredds-test.unidata.ucar.edu/thredds/catalog/casestudies/irma/model/gfs/catalog.xml')\n",
-    "best_ds = cat.datasets['Best GFS Half Degree Forecast Time Series']\n",
-    "\n",
-    "# Access the best dataset using the subset service and request data\n",
-    "ncss = best_ds.subset()\n",
-    "\n",
-    "# Set up query\n",
-    "query = ncss.query().accept('netcdf4')\n",
-    "query.lonlat_box(west=-90, east=-55, south=15, north=30)\n",
-    "query.variables('Pressure_surface', 'Wind_speed_gust_surface')\n",
-    "query.time_range(datetime(2017, 9, 6, 12), datetime(2017, 9, 11, 12))\n",
-    "\n",
-    "# Pull useful pieces out of nc\n",
-    "nc = ncss.get_data(query)\n",
-    "lon = nc.variables['longitude'][:]\n",
-    "lat = nc.variables['latitude'][:]\n",
-    "press = nc.variables['Pressure_surface']\n",
-    "winds = nc.variables['Wind_speed_gust_surface']\n",
-    "time_var = nc.variables['time1']\n",
-    "times = num2date(time_var[:], time_var.units)\n",
-    "\n",
-    "# Create a figure for plotting\n",
-    "proj = ccrs.LambertConformal(central_longitude=-70)\n",
-    "fig = plt.figure(figsize=(10, 5))\n",
-    "ax = fig.add_subplot(1, 1, 1, projection=proj)\n",
-    "ax.coastlines()\n",
-    "add_metpy_logo(fig, x=15, y=15)\n",
-    "\n",
-    "# Setup up the animation, looping over data to do the plotting that we want\n",
-    "pressure_levels = np.arange(95000, 105000, 800)\n",
-    "wind_levels = np.arange(0., 100., 10.)\n",
-    "artists = []\n",
-    "\n",
-    "for press_slice, wind_slice, time in zip(press, winds, times):\n",
-    "    press_contour = ax.contour(lon, lat, press_slice, pressure_levels,\n",
-    "                               transform=ccrs.PlateCarree(), colors='black')\n",
-    "    wind_contour = ax.contour(lon, lat, wind_slice, wind_levels,\n",
-    "                              transform=ccrs.PlateCarree(), colors='blue')\n",
-    "    text = ax.text(0.5, 1.01, time, transform=ax.transAxes, ha='center')\n",
-    "    artists.append(press_contour.collections + wind_contour.collections + [text])\n",
-    "\n",
-    "manimation.ArtistAnimation(fig, artists, interval=100)\n"
+    "# %load solutions/animation.py"
    ]
   },
   {
@@ -535,9 +490,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:unidata-workshop]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-unidata-workshop-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {

notebooks/CartoPy/CartoPy.ipynb

@@ -396,34 +396,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %load solutions/map.py\n",
-    "fig = plt.figure(figsize=(10, 8))\n",
-    "ax = fig.add_subplot(1, 1, 1, projection=ccrs.Mercator())\n",
-    "\n",
-    "ax.add_feature(cfeat.COASTLINE)\n",
-    "ax.add_feature(cfeat.LAND, facecolor='tab:brown')\n",
-    "ax.add_feature(cfeat.OCEAN, facecolor='tab:cyan')\n",
-    "ax.add_feature(cfeat.BORDERS, linewidth=2)\n",
-    "ax.add_feature(state_borders, linestyle=\"--\", edgecolor='black')\n",
-    "\n",
-    "ax.plot(-101.877, 33.583, marker='o', color='tab:green', transform=ccrs.PlateCarree())\n",
-    "\n",
-    "ax.set_extent([-108, -93, 25, 37])"
+    "# %load solutions/map.py"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:unidata-workshop]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-unidata-workshop-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {