Update README.rst

README.rst

@@ -43,43 +43,45 @@ Use
 -------
 From your conda environment created above:
 
-```
-(gmetl) B:\gitbmi\gridmetetl>gridmetetl -h
-
-usage: gridmet_etl [-h] -t extraction type [-p YYYY-MM-DD) (YYYY-MM-DD]
-                   [-d numdays] [-f output_file_prefix] -i input_path -o
-                   output_path -w weight_file
-                   [-v [GridMet_Variables [GridMet_Variables ...]]]
-
-map gridded climate data to polygon using zonal area weighted mean
-
-optional arguments:
-  -h, --help            show this help message and exit
-  -t extraction type, --extract_type extraction type
-                        extract method: (days) or (date)
-  -p (YYYY-MM-DD) (YYYY-MM-DD), --period (YYYY-MM-DD) (YYYY-MM-DD)
-                        option: start date and end date of retrieval (YYYY-MM-
-                        DD)
-  -d numdays, --days numdays
-                        option: number of days to retrieve; if specified take
-                        precedence over -s & -e option
-  -f output_file_prefix, --file_prefix output_file_prefix
-                        option: prefix for output files
-  -i input_path, --inpath input_path
-                        input_path (location of HRU shapefiles)
-  -o output_path, --outpath output_path
-                        Output path (location of netcdf output files by
-                        shapefile output)
-  -w weight_file, --weightsfile weight_file
-                        path/weight.csv - path/name of weight file
-  -v [GridMet_Variables [GridMet_Variables ...]], --variables [GridMet_Variables [GridMet_Variables ...]]
-                        over-ride default vars
- ```
+.. code-block:: bash
+
+    (gmetl) B:\gitbmi\gridmetetl>gridmetetl -h
+
+    usage: gridmet_etl [-h] -t extraction type [-p YYYY-MM-DD) (YYYY-MM-DD]
+                       [-d numdays] [-f output_file_prefix] -i input_path -o
+                       output_path -w weight_file
+                       [-v [GridMet_Variables [GridMet_Variables ...]]]
+
+    map gridded climate data to polygon using zonal area weighted mean
+
+    optional arguments:
+      -h, --help            show this help message and exit
+      -t extraction type, --extract_type extraction type
+                            extract method: (days) or (date)
+      -p (YYYY-MM-DD) (YYYY-MM-DD), --period (YYYY-MM-DD) (YYYY-MM-DD)
+                            option: start date and end date of retrieval (YYYY-MM-
+                            DD)
+      -d numdays, --days numdays
+                            option: number of days to retrieve; if specified take
+                            precedence over -s & -e option
+      -f output_file_prefix, --file_prefix output_file_prefix
+                            option: prefix for output files
+      -i input_path, --inpath input_path
+                            input_path (location of HRU shapefiles)
+      -o output_path, --outpath output_path
+                            Output path (location of netcdf output files by
+                            shapefile output)
+      -w weight_file, --weightsfile weight_file
+                            path/weight.csv - path/name of weight file
+      -v [GridMet_Variables [GridMet_Variables ...]], --variables [GridMet_Variables [GridMet_Variables ...]]
+                            over-ride default vars
+                        
 ### Do an ETL:
 
-```
-gridmetetl -t date -p 2018-09-01 2018-09-02 -i ../../GitRepos/onhm-fetcher-parser/Data -o ../../GitRepos/onhm-fetcher-parser/Output -w ../../onhm-fetcher-parser/Data/weights.csv
-```
+.. code-block:: bash
+
+    gridmetetl -t date -p 2018-09-01 2018-09-02 -i ../../GitRepos/onhm-fetcher-parser/Data -o ../../GitRepos/onhm-fetcher-parser/Output -w ../../onhm-fetcher-parser/Data/weights.csv
+
 
 ### Additional examples:
 https://github.com/nhm-usgs/gridmetetl/blob/master/Examples/Example_code_usage.ipynb