.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/axisartist/demo_curvelinear_grid2.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. meta::
        :keywords: codex

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_axisartist_demo_curvelinear_grid2.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_axisartist_demo_curvelinear_grid2.py:


======================
Demo CurveLinear Grid2
======================

Custom grid and ticklines.

This example demonstrates how to use GridHelperCurveLinear to define
custom grids and ticklines by applying a transformation on the grid.
As showcase on the plot, a 5x5 matrix is displayed on the axes.

.. GENERATED FROM PYTHON SOURCE LINES 12-51



.. image-sg:: /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid2_001.png
   :alt: demo curvelinear grid2
   :srcset: /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid2_001.png, /gallery/axisartist/images/sphx_glr_demo_curvelinear_grid2_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from mpl_toolkits.axisartist.axislines import Axes
    from mpl_toolkits.axisartist.grid_finder import (ExtremeFinderSimple,
                                                     MaxNLocator)
    from mpl_toolkits.axisartist.grid_helper_curvelinear import \
        GridHelperCurveLinear


    def curvelinear_test1(fig):
        """Grid for custom transform."""

        def tr(x, y):
            return np.sign(x)*abs(x)**.5, y

        def inv_tr(x, y):
            return np.sign(x)*x**2, y

        grid_helper = GridHelperCurveLinear(
            (tr, inv_tr),
            extreme_finder=ExtremeFinderSimple(20, 20),
            # better tick density
            grid_locator1=MaxNLocator(nbins=6), grid_locator2=MaxNLocator(nbins=6))

        ax1 = fig.add_subplot(axes_class=Axes, grid_helper=grid_helper)
        # ax1 will have a ticks and gridlines defined by the given
        # transform (+ transData of the Axes). Note that the transform of the Axes
        # itself (i.e., transData) is not affected by the given transform.

        ax1.imshow(np.arange(25).reshape(5, 5),
                   vmax=50, cmap=plt.cm.gray_r, origin="lower")


    if __name__ == "__main__":
        fig = plt.figure(figsize=(7, 4))
        curvelinear_test1(fig)
        plt.show()


.. _sphx_glr_download_gallery_axisartist_demo_curvelinear_grid2.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: demo_curvelinear_grid2.ipynb <demo_curvelinear_grid2.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: demo_curvelinear_grid2.py <demo_curvelinear_grid2.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_