The vis visualization submodule
===============================

General empyre.vis docu here!

All functions implemented in the subpackages can be accessed directly in the ``empyre.io`` namespace, with the exception
of the ``color`` module, whose methods are accessible via ``empyre.vis.colors``.

Note that the y-axis of all image plots is flipped in comparison to ``matplotlib.pyplot.imshow``, i.e. that the
origin is `'lower'` in this case instead of `'upper'`.

Please note that 3D plots only work in your Jupyter notebook after first installing and then enabling the corresponding
mayavi extension:

.. code-block:: bash

      $ jupyter nbextension install --py mayavi --user
      $ jupyter nbextension enable mayavi --user --py

If you'd like to utilize 3D plots in your Jupyter Notebook or in the Python Interactive Window

.. code-block:: Python

      >>> from mayavi import mlab
      >>> mlab.init_notebook('x3d')

The backend, chosen by the `init_notebook` function can be `ipy` (the default, produces static images in Juypter
Notebook and does not work in VSCode), `x3d` (produces interactive plots in Jupyter Noteboo, but seems to not work with
VSCode), or `png` (produces png-images, which work in both Jupyter Notebooks and VSCode).
For more information and a quick introduction visit the `mayavi tips & tricks section <https://docs.enthought.com/mayavi/mayavi/tips.html>`_.


The plot2d module
-----------------

.. automodule:: empyre.vis.plot2d
   :members:
   :show-inheritance:


The decorators module
---------------------

.. automodule:: empyre.vis.decorators
   :members:
   :show-inheritance:


The colors module
-----------------

.. automodule:: empyre.vis.colors
   :members:
   :show-inheritance:


The tools module
----------------

.. automodule:: empyre.vis.tools
   :members:
   :show-inheritance: