.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "classes/base_classes/data/plot_hist2dmix.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_classes_base_classes_data_plot_hist2dmix.py>`
        to download the full example code.

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

.. _sphx_glr_classes_base_classes_data_plot_hist2dmix.py:


==================
2D Mixed-Histogram
==================

Data on a regular two-dimensional grid which is the combination
of an image and a histogram.

The x-axis defines the bin edges along the second dimension.
The y-axis defines the grid coordinates along the first dimension.

.. code::

  @NX_class = "NXroot"
  @default = "scan1"
  scan1:
    @NX_class = "NXentry"
    @default = "data"
    data:
      @NX_class = "NXdata"
      @axes = ["y", "x"]
      @signal = "z"
      x: NX_FLOAT64[7]
      y: NX_FLOAT64[16]
      z: NX_FLOAT64[16,6]

Explanation:

1. ``@axes`` has two values which corresponds to the signal rank of two.

2. ``z`` is the default signal to be plotted versus ``x`` and ``y``.

3. ``z`` has 16 rows and 6 columns.

4. ``x`` has one more value than the second dimension of ``z`` since it contains the bin edges.

.. GENERATED FROM PYTHON SOURCE LINES 37-67



.. image-sg:: /classes/base_classes/data/images/sphx_glr_plot_hist2dmix_001.png
   :alt: plot hist2dmix
   :srcset: /classes/base_classes/data/images/sphx_glr_plot_hist2dmix_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    # Data
    import numpy as np

    x = [-3.0, -2.5, -1.0, 0.0, 1.0, 2.5, 3.0]
    y = np.linspace(-3, 3, 16)

    nx = len(x) - 1
    ny = len(y)
    z = np.zeros((ny, nx))
    xx = np.linspace(-3, 3, 200)
    for i in range(ny):
        zi = (1 - xx / 2 + xx**5 + y[i] ** 3) * np.exp(-(xx**2) - y[i] ** 2)
        z[i, :], _ = np.histogram(xx, bins=x, weights=zi)

    # Plot
    import matplotlib.pyplot as plt  # noqa E402

    plt.style.use("_mpl-gallery-nogrid")

    fig, ax = plt.subplots()

    y_new = np.empty_like(y, shape=(len(y) + 1,))
    y_new[0] = 2 * y[0] - y[1]
    y_new[1:-1] = (y[:-1] + y[1:]) / 2
    y_new[-1] = 2 * y[-1] - y[-2]

    mesh = ax.pcolormesh(x, y_new, z, linewidth=0.7)

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.035 seconds)


.. _sphx_glr_download_classes_base_classes_data_plot_hist2dmix.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_hist2dmix.ipynb <plot_hist2dmix.ipynb>`

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

      :download:`Download Python source code: plot_hist2dmix.py <plot_hist2dmix.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_hist2dmix.zip <plot_hist2dmix.zip>`