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

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_utils_plot_scale_colormap.py>`
        to download the full example code

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

.. _sphx_glr__examples_utils_plot_scale_colormap.py:


Show colormap for various scalings
----------------------------------

The dummy piece of code included below demonstrates visually
that the transformation using the MinMaxScaler or StandardScaler
does not affect the colormap. These transformations compute
a 'mapping' but do not alter the values and/or their
distribution. See the formulas below:


.. math::

    MinMaxScaler (x_{scaled}) = x_{std} * (x_{max} - x_{min}) + x_{min}

.. math::

    where x_{std} = (x - x_{min}) / (x_{max} - x_{min})

.. math::

    StandardScaler (x_{scaled}) = (x - x_{mean}) / x_{std}

.. GENERATED FROM PYTHON SOURCE LINES 26-90



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /_examples/utils/images/sphx_glr_plot_scale_colormap_001.png
         :alt: original, MinMax, StdScaler, log
         :srcset: /_examples/utils/images/sphx_glr_plot_scale_colormap_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/utils/images/sphx_glr_plot_scale_colormap_002.png
         :alt: original, MinMax, StdScaler
         :srcset: /_examples/utils/images/sphx_glr_plot_scale_colormap_002.png
         :class: sphx-glr-multi-img





.. code-block:: default
   :lineno-start: 27


    # Library
    import numpy as np
    import seaborn as sns
    import matplotlib as mpl
    import matplotlib.pyplot as plt

    from sklearn.preprocessing import MinMaxScaler
    from sklearn.preprocessing import StandardScaler

    # See https://matplotlib.org/devdocs/users/explain/customizing.html
    mpl.rcParams['axes.titlesize'] = 8
    mpl.rcParams['axes.labelsize'] = 8
    mpl.rcParams['xtick.labelsize'] = 8
    mpl.rcParams['ytick.labelsize'] = 8

    # Create data
    linear = np.linspace(0, 10, 100)
    rayleigh = np.random.rayleigh(3, 100)
    original = np.concatenate((linear, rayleigh)).reshape(-1, 1)
    #original = rayleigh.reshape(-1, 1)

    # Create scalers
    mmx = MinMaxScaler().fit(original)
    std = StandardScaler().fit(original)

    # Display
    fig, axs = plt.subplots(nrows=1, ncols=4,
        sharey=True, sharex=False, figsize=(8, 7))

    for i, (name, data) in enumerate(
            [('original', original),
             ('MinMax', mmx.transform(original)),
             ('StdScaler', std.transform(original)),
             ('log', np.log(original))]):

        sns.heatmap(data.reshape(10, -1), annot=False,
            linewidth=0.5, cmap='coolwarm', ax=axs[i], zorder=1,
            cbar_kws={
                # 'label': 'value [unit]',
                'use_gridspec': True,
                'location': 'right'
            }
        )
        axs[i].set_title(name)


    fig, axs = plt.subplots(nrows=3, ncols=1,
        sharey=True, sharex=False, figsize=(8, 7))

    for i, (name, data) in enumerate(
            [('original', original),
             ('MinMax', mmx.transform(original)),
             ('StdScaler', std.transform(original))]):
        #sns.displot(data=data.reshape(1, -1).tolist(), ax=axs[i],
        #bins=100)
        #kind="kde")
        #sns.kdeplot(data=data.reshape(1, -1).tolist(), ax=axs)
        sns.histplot(data=data.reshape(1, -1).tolist(), ax=axs[i], kde=True)
        axs[i].set_title(name)


    # Show
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.976 seconds)


.. _sphx_glr_download__examples_utils_plot_scale_colormap.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

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