Winston
A bit like the PostGIS ST_SummaryStats function for rasters on your filesystem.
Mostly we're just stringing together some awesome libraries:
Install
Activate your project virtual environment, and then:
pip install winston
If you just want to use the command-line features, you could:
pip install --user winston
Usage
You can either use Winston on the command-line or as a module.
Command-line
To see your options, simply:
winston --help
For example, to get stats for all WKTs in a text file for a given raster:
winston some_file.tif -f wkts.txt
or just for one point, including raster metadata:
winston /path/to/data/*.tif -w 'POINT (-4.483545 54.150744)' -m
Since we require rasterio, you can also use the rio command-line tool to inspect your rasters:
rio insp /path/to/geo.tif
Read more in the Rasterio docs.
Module
You can also use Winston in your code:
>>> import rasterio
>>> from winston.stats import summary
>>> from shapely.geometry import Point
>>> src = rasterio.open('/path/to/raster.tif')
>>> print summary(src)
Summary(count=37324800, sum=49041320.0, mean=5.8627439, min=0.0, max=10.0, std=2.2037256)
>>> print summary(src, bounds=(4, 6))
Summary(count=37324800, sum=9569182.0, mean=5.1044292, min=4.0, max=5.9999995, std=0.56939822)
>>> print summary(src, bounds=(4, 6), mean_only=True)
5.09
>>> print summary(src, Point(-2.36, 51.38).buffer(0.25))
Summary(count=169, sum=1229.4401, mean=8.9740152, min=8.3602285, max=9.4269724, std=0.24473859)Exporting results is reasonably simple with tablib:
>>> import rasterio
>>> import tablib
>>> from winston.stats import summary
>>> from shapely.geometry import Point
>>> src = rasterio.open('/path/to/raster.tif')
>>> shapes = [Point(x, y).buffer(0.25) for x, y in zip(range(5), range(5, 0, -1))]
>>> summaries = [summary(src, shape) for shape in shapes]
>>> d = tablib.Dataset()
>>> d.dict = [s.__dict__ for s in summaries]
>>> print d.headers
['count', 'sum', 'mean', 'min', 'max', 'std']
>>> open('output.csv', 'w').write(d.csv)
