a few more replacements of the module name - replace oco2_modis_visto…

…ol with oco_vistool

README.md

@@ -1,4 +1,4 @@
-# oco2_modis_vistool.py
+# oco_vistool.py
 
 The purpose of this script is to pull different RGB images (depending on the user's choice from Encoding.csv) from Worldview using the NASA GIBS API and overlay various OCO-2 data fields for 
 case study analysis in support of OCO-2 cloud and aerosol screening validation.
@@ -37,7 +37,7 @@ It can also be called as a function from within another Python program for expan
     Dockerfiles and docker-compose files to set up an appropriate Python 2.7 or Python 3.6 container are included in the repo    
 
 3) Test run from the command line  
-   `python oco2_modis_vistool.py`
+   `python oco_vistool.py`
 
 
 4) Look for the output PNG and HDF5 in the code directory
@@ -77,7 +77,7 @@ It can also be called as a function from within another Python program for expan
        http://matplotlib.org/examples/color/named_colors.html
 
      **oco2_overlay_info** (dict, default: none):  
-         The information for the OCO-2 variable to overlay on the MODIS RGB.  
+         The information for the OCO-2 variable to overlay on the Background image.  
 		**{**  
 		**file** (string):  
         		This is *required* for a variable overlay.  
@@ -155,16 +155,16 @@ layers (as of June 2021) into a separate CSV file. This relation CSV file is use
 The parser used a copy of the wmts capabilities file which was downloaded into the code directory from: https://gibs.earthdata.nasa.gov/wmts/epsg4326/best/wmts.cgi?SERVICE=WMTS&REQUEST=GetCapabilities
 
 Minimum command line call:  
-`python oco2_modis_vistool.py`
+`python oco_vistool.py`
 
 
 Minimum function call:  
 ```
-from oco2_modis_vistool import do_modis_overlay_plot
+from oco_vistool import do_overlay_plot
 
-do_modis_overlay_plot([lat_of_upper_lefthand_corner, lon_of_upper_lefthand_corner],
-                      [lat_of_lower_righthand_corner, lon_of_lower_righthand_corner], 
-		      date, lat_data, lon_data, variable_data)
+do_overlay_plot([lat_of_upper_lefthand_corner, lon_of_upper_lefthand_corner],
+                [lat_of_lower_righthand_corner, lon_of_lower_righthand_corner], 
+                date, lat_data, lon_data, variable_data)
 ```  
 
 ## A Note about Questions, Suggestions, and Issues

satpy_overlay_plots.py

@@ -3,7 +3,7 @@
 
 module implementing satpy based plots with OCO-2 data overlays.
 
-intended to integrate with oco2_modis_vistool.py
+intended to integrate with oco2_vistool.py
 """
 
 import os.path, glob, datetime, collections, itertools
@@ -26,7 +26,7 @@
 import netCDF4
 import h5py
 
-from oco2_modis_vistool import read_shp
+from oco_vistool import read_shp
 
 # to get the location of the city data (a subdir from where the
 # code is located).