Raster To DataFrame
A simple python module that converts a raster to a Pandas DataFrame.
from rastertodataframe import raster_to_dataframe
raster_path = '/some/gdal/compatible/file.tif'
vector_path = '/some/ogr/compatible/file.geojson'
# Extract all image pixels (no vector).
df = raster_to_dataframe(raster_path)
# Extract only pixels the vector touches and include the vector metadata.
df = raster_to_dataframe(raster_path, vector_path=vector_path)Free software: MIT license
Documentation: https://rastertodataframe.readthedocs.io.
Features
Convert any GDAL compatible raster to a Pandas DataFrame.
Optionally, if any OGR compatible vector file is given, only pixels touched by the vector are extracted from the raster. The output DataFrame includes these pixels as well as any attributes from the vector file.
Installation
pip install rastertodataframeA working GDAL/OGR installation is required. This is best accomplished with conda.
conda install -c conda-forge numpy gdal geopandas pandas pyprojCredits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.2.1 (2019-02-13)
Add support for single band rasters.
0.2.0 (2018-07-12)
Implement tiling to reduce memory use for large rasters.
0.1.3 (2018-07-09)
Remove dependencies to fix non-building installs.
0.1.2 (2018-07-09)
Fix creation of temporary files on windows.
0.1.1 (2018-07-08)
All logic implement with unit tests. Prepare for PyPI release.
0.1.0 (2018-07-07)
Project started.
1 maintainer
Metadata
1 maintainer
Release files for rastertodataframe 0.2.1
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