dask-geopandas 0.1.0a6

GeoPandas objects backed with Dask

Parallel GeoPandas with Dask

Status

EXPERIMENTAL This project is in an early state.

If you would like to see this project in a more stable state, then you might consider pitching in with developer time (contributions are very welcome!) or with financial support from you or your company.

This is a new project that builds off the exploration done in https://github.com/mrocklin/dask-geopandas

Documentation

See the documentation on https://dask-geopandas.readthedocs.io/en/latest/

Installation

This package depends on GeoPandas, Dask and PyGEOS.

One way to install all required dependencies is to use the conda package manager to create a new environment:

conda create -n geo_env
conda activate geo_env
conda config --env --add channels conda-forge
conda config --env --set channel_priority strict
conda install dask-geopandas

Example

Given a GeoPandas dataframe

import geopandas
df = geopandas.read_file('...')

We can repartition it into a Dask-GeoPandas dataframe:

import dask_geopandas
ddf = dask_geopandas.from_geopandas(df, npartitions=4)

The familiar spatial attributes and methods of GeoPandas are also available and will be computed in parallel:

ddf.geometry.area.compute()
ddf.within(polygon)