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usage: choppy-lite.py [-h] [-s SHAPE_ARCHIVE] [-r RASTER] [-x STATS]
[-o OUTPUT_DIR] [-f OUTPUT_FORMAT] [-d OUTPUT_FILE] [-a]
Add values via command line to send to choppy
optional arguments:
-h, --help show this help message and exit
-s SHAPE_ARCHIVE, --shape_archive SHAPE_ARCHIVE
The archived files to use to extract features and compare against the raster
-r RASTER, --raster RASTER
The rasterfile to use for retrieving zonals tats from
-x STATS, --stats STATS
Which stats should be used to to compute the zonal statistics
-o OUTPUT_DIR, --output-dir OUTPUT_DIR
Where should the file be stored
-f OUTPUT_FORMAT, --output-format OUTPUT_FORMAT
the type of format to output the file as
-d OUTPUT_FILE, --destination OUTPUT_FILE
the destination output file
-g, --geometry
export the geometry field
-a, --all-touched
should all touched shapes be included
Standard usage of the the choppy command line is ./choppy-lite.py -s <shapefile.zip> -r <raster.tif> -f xlsx -a to create an Excel file of the zonal statistics using the all touched method and the default statistics of min, max, mean, median, majority, sum, std, and count.
Included in the examples/ directory is a raster image of Nebraska produced via LandScan and a shape archive of county boundaries for Nebraska. Running the example is easy: ./choppy-lite.py -s examples/nebraska.zip -r examples/Neb_Landscan -f none -x "min,max,mean,std" -a -g to produce pandas output.