feature #1566 Python 3.8.6 documentation (#1717)

docs/Users_Guide/installation.rst

@@ -24,7 +24,7 @@ Pre-built METplus images on DockerHub are also provided.
 Programming/scripting languages
 ===============================
 
-METplus Wrappers is written in Python 3.6.3. It is intended to be a tool
+METplus Wrappers is written in Python. It is intended to be a tool
 for the modeling community to use and adapt. As users make upgrades and
 improvements to the tools, they are encouraged to offer those upgrades
 to the broader community by offering feedback to the developers or
@@ -42,7 +42,7 @@ Software Requirements
 
 The following software is required to run METplus Wrappers:
 
--  Python 3.6.3 or above
+-  Python 3.8.6 or above
 
 -  MET version 10.0.0 or above - 
    For information on installing MET please see the `Software Installation/Getting Started <https://met.readthedocs.io/en/latest/Users_Guide/installation.html>`_
@@ -93,13 +93,13 @@ If running use cases that use Python embedding, the **MET** executables
 must be installed with Python enabled
 and the following Python packages installed:
 
-- xarray (0.17.0)
+- xarray (2022.3.0)
 
-- numpy (1.19.2)
+- numpy (1.22.4)
 
-- pandas (1.0.5)
+- pandas (1.4.2)
 
-- netCDF4 (1.5.4)
+- netCDF4 (1.5.8)
 
 See `Appendix F Python Embedding <https://met.readthedocs.io/en/latest/Users_Guide/appendixF.html>`_
 section in the MET User's Guide for more information.
@@ -115,13 +115,13 @@ to run.
 
 -  MakePlots wrapper
 
-    - cartopy (0.18.0)
-    - pandas (1.0.5)
+    - cartopy (0.20.3)
+    - pandas (1.4.3)
 
 -  CyclonePlotter wrapper
 
-    - cartopy (0.18.0)
-    - matplotlib (3.3.4)
+    - cartopy (0.20.3)
+    - matplotlib (3.5.2)
 
 Cartopy, one of the dependencies of CyclonePlotter, attempts to download shapefiles from the internet to complete successfully. So if CyclonePlotter is run on a closed system (i.e. no internet), additional steps need to be taken. First, go to the Natural Earth Data webpage and download the small scale (1:110m) cultural and physical files that will have multiple extensions (e.g. .dbf, .shp, .shx). Untar these files in a noted location. Finally, create an environment variable in the user-specific system configuration file for CARTOPY_DIR, setting it to the location where the shapefiles are located. 
 

docs/Users_Guide/overview.rst

@@ -67,7 +67,7 @@ their verification environments. Wrappers can be run individually, or as
 a group of wrappers that represent a sequence of MET processes. New
 wrappers can readily be added to the METplus Wrappers package due to
 this modular design. Currently, METplus Wrappers can easily be applied
-by any user on their own computer platform that supports Python 3.6.  We have deprecated support to Python 2.7.
+by any user on their own computer platform that supports Python 3.8.  We have deprecated support to Python 2.7.
 
 The METplus Wrappers code and documentation is maintained by the DTC in
 Boulder, Colorado. METplus Wrappers is freely available to the modeling,
@@ -112,24 +112,14 @@ METplus Components Python Requirements
     - Description 
     - Use Cases (only applicable for METplus wrappers component)(followed by
       python package name)
-  * - Python 3.6.3+
+  * - Python 3.8.6+
     -
     - METplus wrappers, :raw-html:`<br />`
       METcalcpy, :raw-html:`<br />`
       METplotpy
     -
     -
     -
-  * - Python 3.7
-    -
-    - METplus wrappers
-    -
-    -
-    - `Multi_Tool:
-      Feature Relative by Lead
-      using Multiple User-Defined Fields
-      (Python 3.7)
-      <../generated/model_applications/medium_range/TCStat_SeriesAnalysis_fcstGFS_obsGFS_FeatureRelative_SeriesByLead_PyEmbed_Multiple_Diagnostics.html>`_
   * - cartopy
     - >=0.18.0
     - METplus wrappers,  :raw-html:`<br />`