Merge pull request #4 from Unidata/master

Bring fork up to latest code in master repo

examples/notebooks/GOES_Geostationary_Lightning_Mapper.ipynb

@@ -80,7 +80,11 @@
     "request.addIdentifier(\"source\", \"GLMgr\")\n",
     "request.setParameters(\"intensity\")\n",
     "times = DataAccessLayer.getAvailableTimes(request)\n",
-    "response = DataAccessLayer.getGeometryData(request, [times[-1]])"
+    "response = DataAccessLayer.getGeometryData(request, [times[-1]])\n",
+    "glm_points = []\n",
+    "for data in response:\n",
+    "       glm_points.append(data.getGeometry())\n",
+    "ob = response[0]"
    ]
   },
   {
@@ -120,8 +124,8 @@
     "ax.gridlines()\n",
     "ax.scatter([point.x for point in glm_points],\n",
     "       [point.y for point in glm_points],\n",
-    "       transform=ccrs.Geodetic(),marker=\"+\",facecolor='red')\n",
-    "ax.set_title(str(response[-1].getDataTime().getRefTime()) + \" | \" + ob.getAttribute('source') + \" | \" + edexServer)"
+    "       transform=ccrs.PlateCarree(),marker=\"+\",facecolor='red')\n",
+    "ax.set_title(str(response[-1].getDataTime().getRefTime()) + \" | \" + ob.getAttribute('source') + \" | \" + edexServer)\n"
    ]
   }
  ],

examples/notebooks/Grid_Levels_and_Parameters.ipynb

@@ -901,6 +901,7 @@
     "import numpy as np\n",
     "import numpy.ma as ma\n",
     "from scipy.io import loadmat\n",
+    "from scipy.constants import convert_temperature\n",
     "def make_map(bbox, projection=ccrs.PlateCarree()):\n",
     "    fig, ax = plt.subplots(figsize=(16, 9),\n",
     "                           subplot_kw=dict(projection=projection))\n",
@@ -913,7 +914,7 @@
     "    return fig, ax\n",
     "\n",
     "#convert temp from K to F\n",
-    "dataf = data*1.8-459.67\n",
+    "dataf = convert_temperature(data, 'K', 'F')\n",
     "\n",
     "cmap = plt.get_cmap('rainbow')\n",
     "bbox = [lons.min(), lons.max(), lats.min(), lats.max()]\n",

examples/notebooks/NEXRAD_Level3_Radar.ipynb

@@ -21,6 +21,7 @@
     "import cartopy.crs as ccrs\n",
     "import numpy as np\n",
     "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+    "%matplotlib inline\n",
     "\n",
     "DataAccessLayer.changeEDEXHost(\"edex-cloud.unidata.ucar.edu\")\n",
     "request = DataAccessLayer.newDataRequest(\"radar\")\n",
@@ -507,7 +508,7 @@
     "    ax.set_extent(bbox)\n",
     "    ax.coastlines(resolution='50m')\n",
     "    gl = ax.gridlines(draw_labels=True)\n",
-    "    gl.xlabels_top = gl.ylabels_right = False\n",
+    "    gl.top_labels = gl.right_labels = False\n",
     "    gl.xformatter = LONGITUDE_FORMATTER\n",
     "    gl.yformatter = LATITUDE_FORMATTER\n",
     "    return fig, ax\n",
@@ -577,7 +578,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,