This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

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, data_count=8364909, sum=49041320.0, mean=5.8627439, min=0.0, max=10.0, std=2.2037256)
>>> print summary(src, bounds=(4, 6))
Summary(count=37324800, data_count=1874682, 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, data_count=137, 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', 'data_count', 'sum', 'mean', 'min', 'max', 'std']
>>> open('output.csv', 'w').write(d.csv)

History

0.2.3 (2016-10-13)

  • Invert default value of all_touched flag to be consistent with Rasterio
  • Added missing requirement (six) and reorganised requirements files

0.2.2 (2016-10-13)

  • Bugfix in namedtuple parameter ordering (oops!)

0.2.1 (2016-10-12)

  • Accept WKT strings as well as GeoJSON & Shapely geometries
  • Fix the processing of ‘no result’ summaries

0.2.0 (2016-10-12)

winston.stats.summary:

  • now accepts Shapely geometries as well as GeoJSON-like objects
  • we no longer round results to 3 decimal places
  • the stats are now returned as a namedtuple rather than a list

0.1.1 (2016-10-12)

  • Minor packaging fixes.

0.1.0 (2016-10-12)

  • First release on PyPI.
Release History

Release History

0.2.3

This version

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0.2.2

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0.2.1

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0.2.0

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0.1.1

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0.1.0

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Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
winston-0.2.3-py2.py3-none-any.whl (10.0 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Oct 13, 2016
winston-0.2.3.tar.gz (7.6 kB) Copy SHA256 Checksum SHA256 Source Oct 13, 2016

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