jupyter notebook cleanup for 0.9.11

docs/source/about.rst

@@ -53,45 +53,6 @@ several commercial off-the-shelf (COTS) and Free or Open Source software
 (FOSS) products to assist in its operation. The following components,
 working together and communicating, compose the entire AWIPS system.
 
-AWIPS Python Stack
-------------------
-
-A number of Python packages are bundled with the AWIPS EDEX and CAVE
-installations.
-
-
-======================  ==============  ==============================
-Package                 Version         RPM Name
-======================  ==============  ==============================
-Python                  2.7.11          awips2-python
-**awips**               **0.9.10**       **awips2-python-awips**
-cartopy                 0.15.1          awips2-python-cartopy
-cherrypy                3.8.2           awips2-python-cherrypy
-cycler                  0.10.0          awips2-python-cycler
-cython                  0.25.2          awips2-python-cython
-dateutil                2.4.2           awips2-python-dateutil
-gfe                     16.4.1          awips2-python-gfe
-h5py                    1.3.0           awips2-python-h5py
-jep                     3.5.3           awips2-python-jep
-matplotlib              1.5.1           awips2-python-matplotlib
-metpy                   0.5.0           awips2-python-metpy
-nose                    1.3.7           awips2-python-nose
-numpy                   1.9.2           awips2-python-numpy
-pint                    0.7.2           awips2-python-pint
-pmw                     1.3.2           awips2-python-pmw
-pupynere                1.0.15          awips2-python-pupynere
-pyparsing               2.0.3           awips2-python-pyparsing
-qpid                    0.32            awips2-python-qpid
-scientific              2.8             awips2-python-scientific
-scipy                   0.15.1          awips2-python-scipy
-shapely                 1.4.4           awips2-python-shapely
-six                     1.10.0          awips2-python-six
-tables                  3.3.0           awips2-python-tables
-tpg                     3.2.2           awips2-python-tpg
-werkzeug                0.12.1          awips2-python-werkzeug
-======================  ==============  ==============================
-
-
 EDEX
 ----
 

docs/source/conf.py

@@ -65,7 +65,7 @@ author = 'Unidata'
 # built documents.
 #
 # The short X.Y version.
-version = '0.9.10'
+version = '0.9.11'
 # The full version, including alpha/beta/rc tags.
 
 # The language for content autogenerated by Sphinx. Refer to documentation

docs/source/index.rst

@@ -4,7 +4,7 @@ Python AWIPS Data Access Framework
 
 `AWIPS <http://unidata.github.io/awips2>`_ is a weather display and analysis package developed by the National Weather Service for operational forecasting.  UCAR's `Unidata Program Center <http://www.unidata.ucar.edu/software/awips2/>`_ supports a non-operational open-source release of the AWIPS software (`EDEX <http://unidata.github.io/awips2/#edex>`_, `CAVE <http://unidata.github.io/awips2/#cave>`_, and `python-awips <https://github.com/Unidata/python-awips>`_). 
 
-The python-awips package provides a data access framework for requesting grid and geometry datasets from an `EDEX <http://unidata.github.io/awips2>`_ server.
+The python-awips package provides a data access framework for requesting grid and geometry datasets from an `EDEX <http://unidata.github.io/awips2/#edex>`_ server.
 
 .. _Jupyter Notebook: http://nbviewer.jupyter.org/github/Unidata/python-awips/tree/master/examples/notebooks
 
@@ -20,8 +20,8 @@ Requirements
 - Shapely 1.4+
 - MetPy and enum34 to run the `Jupyter Notebook`_ examples
 
-How to Use
+Quick Example
-~~~~~~~~~~
+~~~~~~~~~~~~~
 
 ::
 
@@ -30,7 +30,7 @@ How to Use
     request = DataAccessLayer.newDataRequest()
     dataTypes = DataAccessLayer.getSupportedDatatypes()
     request.setDatatype("grid")
-    request.addLocationNames("RAP40")
+    request.addLocationNames("RAP13")
     request.setParameters("T")
     request.setLevels("0.0SFC")
     cycles = DataAccessLayer.getAvailableTimes(request, True)

examples/notebooks/NEXRAD_Level_3_Plot_with_Matplotlib.ipynb

@@ -30,12 +30,11 @@
     "\n",
     "50 dBZ corresponds to the 16-level color *light red* (**FF6060**). Note that `FF6060` is not used in the NWS AWIPS color scale, instead RGB value is given as `255,0,0` (hex code **FF0000**). 60 dBZ is not quite exactly where white starts, but it makes sense that it would.  Obviously the AWIPS D2D authors took some liberties with their 256-level rendering, not adhering strictly to \"dark red\" for dBZ values between 60-65 (white was for 70 dBZ and above on the 16-level colormap).  For this exercise we will assume 50 dBZ should be red and 60 dBZ white, and 75 dBZ cyan.\n",
     "\n",
-    "\n",
+    "**Setup**\n",
-    "### Setup\n",
     "\n",
     "> pip install python-awips matplotlib cartopy metpy\n",
     "\n",
-    "### Python Script\n",
+    "**Python Script**\n",
     "\n",
     "Download this script as a [Jupyter Notebook](http://nbviewer.jupyter.org/github/Unidata/python-awips/blob/master/examples/notebooks/NEXRAD_Level_3_Plot_with_Matplotlib.ipynb)."
    ]
@@ -43,9 +42,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "name": "stdout",
@@ -203,9 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "data": {
@@ -279,9 +274,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "data": {
@@ -360,9 +353,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "version": "2.7.14"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }

examples/notebooks/Watch_and_Warning_Polygons.ipynb

@@ -4,15 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Create Request for Data Type warning"
+    "## Create Request for Data Type Warning"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "name": "stdout",
@@ -48,15 +46,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Create a dictionary of lists for each parameter"
+    "## Create a dictionary of lists for each parameter"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "name": "stdout",
@@ -92,15 +88,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Print out basic info for each warning"
+    "**Print out basic info for each warning**"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "name": "stdout",
@@ -152,9 +146,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "data": {
@@ -227,9 +219,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "name": "stdout",
@@ -348,9 +338,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
+   "metadata": {},
-    "collapsed": false
-   },
    "outputs": [
     {
      "data": {
@@ -439,9 +427,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "version": "2.7.14"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }