IN-CORE visualization python package
Project description
pyincore-viz is a component of IN-CORE that provides visualization and other utilities for use with pyincore.
Mac specific notes
Installation with conda
Installing pyincore-viz with Conda is officially supported by IN-CORE development team.
To add conda-forge channel to your environment, run
conda config –-add channels conda-forge
To install pyincore-viz package, run
conda install -c in-core pyincore-viz
To update pyIncore-viz, run
conda update -c in-core pyincore-viz
Installation with pip
Installing pyincore-viz with pip is NOT supported by IN-CORE development team. Please use pip for installing pyincore-viz at your discretion.
Installing pyincore-viz with pip is only tested on linux environment.
Prerequisite
GDAL C library must be installed to install pyincore-viz. (for Ubuntu, gdal-bin and libgdal-dev)
To install pyincore-viz package, run
pip install pyincore-viz
Documentation Containter
To build the container with the documentation you can use:
docker build -t doc/pyincore-viz -f Dockerfile.docs .
docker run -ti -p 8000:80 doc/pyincore-viz
Then check the documentation at http://localhost:8000/doc/pyincore_viz/.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyincore_viz-1.10.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3b6d1bdeee74f96dba094c85bb4fe6d3b55341303b7280737d2747e668b7511b |
|
MD5 | 339731649201b8da65bc39cf13035555 |
|
BLAKE2b-256 | cd7a4e31c63a0b7e526c93ed52598a0ab2d21e462f4ea772b56ea1b00524f4cc |