pyincore-viz
============
**pyincore-viz** is a component of IN-CORE that provides visualization and other utilities for use with **pyincore**.
Mac specific notes
------------------
- We use `matplotlib` library to create graphs. There is a Mac specific installation issue addressed at `here (1) <https://stackoverflow.com/questions/4130355/python-matplotlib-framework-under-macosx>`_ and
`here (2) <https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python>`_.
In a nutshell, insert line: `backend : Agg` into `~/.matplotlib/matplotlibrc` file.
Installation with conda
-----------------------
Installing **pyincore-viz** with Conda is officially supported by IN-CORE development team.
To add `conda-forge <https://conda-forge.org/>`__ channel to your environment, run
.. code-block:: console
conda config –-add channels conda-forge
To install **pyincore-viz** package, run
.. code-block:: console
conda install -c in-core pyincore-viz
To update **pyIncore-viz**, run
.. code-block:: console
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
.. code-block:: console
pip install pyincore-viz
Documentation Containter
------------------------
To build the container with the documentation you can use:
.. code-block:: console
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/ <http://localhost:8000/doc/pyincore_viz/>`_.
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"description": "pyincore-viz\n============\n\n**pyincore-viz** is a component of IN-CORE that provides visualization and other utilities for use with **pyincore**.\n \n\nMac specific notes\n------------------\n\n- We use `matplotlib` library to create graphs. There is a Mac specific installation issue addressed at `here (1) <https://stackoverflow.com/questions/4130355/python-matplotlib-framework-under-macosx>`_ and \n `here (2) <https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python>`_. \n In a nutshell, insert line: `backend : Agg` into `~/.matplotlib/matplotlibrc` file.\n\nInstallation with conda\n-----------------------\n\nInstalling **pyincore-viz** with Conda is officially supported by IN-CORE development team. \n\nTo add `conda-forge <https://conda-forge.org/>`__ channel to your environment, run\n\n.. code-block:: console\n\n conda config \u2013-add channels conda-forge\n\nTo install **pyincore-viz** package, run\n\n.. code-block:: console\n\n conda install -c in-core pyincore-viz\n\n\nTo update **pyIncore-viz**, run\n\n.. code-block:: console\n\n conda update -c in-core pyincore-viz\n\n\nInstallation with pip\n-----------------------\n\nInstalling **pyincore-viz** with pip is **NOT supported** by IN-CORE development team.\nPlease use pip for installing pyincore-viz at your discretion. \n\n**Installing pyincore-viz with pip is only tested on linux environment.**\n\n**Prerequisite**\n\n* GDAL C library must be installed to install pyincore-viz. (for Ubuntu, **gdal-bin** and **libgdal-dev**)\n\nTo install **pyincore-viz** package, run\n\n.. code-block:: console\n\n pip install pyincore-viz\n\nDocumentation Containter\n------------------------\n\nTo build the container with the documentation you can use:\n\n.. code-block:: console\n\n docker build -t doc/pyincore-viz -f Dockerfile.docs .\n docker run -ti -p 8000:80 doc/pyincore-viz\n\n\nThen check the documentation at `http://localhost:8000/doc/pyincore_viz/ <http://localhost:8000/doc/pyincore_viz/>`_.\n",
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