pyIncore-data is a utility package for preparing data for use in pyIncore. It contains advanced Python packages and methods for acquiring data from different sources and preparing it for use in IN-CORE.
Acquiring data from sources such as census data.
Data manipulation including handling shapefiles, dataframes, etc.
To install pyIncore-data, navigate to the directory you want to use and run the following command:
conda install -c in-core pyincore-data
If the installed pyincore-data version is not the latest or lower than the desired one, specify the version number in installation command.
conda install -c in-core pyincore-data=0.5.0 (or your version of choice)
Version information for pyincore-data can be found in
For updating pyIncore-data, replace
updatein the above command.
To check that the pyIncore-data package is installed, run the following command:
This will list all packages currently installed.
The Jupyter notebook below uses pyIncore-data to acquire census block group data and converts it to different formats including shapefile and other formats. The shapefile format is a geospatial vector data format for geographic information system (GIS) software developed by Esri for interoperability among GIS software products.