.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "classes/base_classes/data/plot_scatter2d.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_scatter2d.py>`
        to download the full example code.

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

.. _sphx_glr_classes_base_classes_data_plot_scatter2d.py:


==========
2D Scatter
==========

Scatter data in two dimensions.

The x-axis and y-axis define the coordinates of the scattered points.

.. code::

  @NX_class = "NXroot"
  @default = "scan1"
  scan1:
    @NX_class = "NXentry"
    @default = "data"
    data:
      @NX_class = "NXdata"
      @x_indices = [0]
      @y_indices = [0]
      @signal = "z"
      x: NX_FLOAT64[500]
      y: NX_FLOAT64[500]
      z: NX_FLOAT64[500]

Explanation:

1. ``@axes`` is omitted since default axes are not applicable.

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

3. Each data point in ``z`` has a coordinate in ``x`` and ``y``.

Note that the NXdata structure does **not** describe how the data needs to
be plotted. In this example we create a 2D scatter plot in the XY-plane.
But the data could also be plotted as a function of ``x`` or ``y`` in a
:ref:`sphx_glr_classes_base_classes_data_plot_curve.py` plot. When defining
``@axes="x"`` the curve plot would be the most likely intention of the data
publisher but it is up to the reader to decide how to plot the data.

.. GENERATED FROM PYTHON SOURCE LINES 41-59



.. image-sg:: /classes/base_classes/data/images/sphx_glr_plot_scatter2d_001.png
   :alt: plot scatter2d
   :srcset: /classes/base_classes/data/images/sphx_glr_plot_scatter2d_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    # Data
    import numpy as np

    rstate = np.random.RandomState(42)
    x = rstate.uniform(-3, 3, 500)
    y = rstate.uniform(-3, 3, 500)
    z = (1 - x / 2 + x**5 + y**3) * np.exp(-(x**2) - y**2)

    # Plot
    import matplotlib.pyplot as plt  # noqa E402

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

    fig, ax = plt.subplots()
    ax.scatter(x, y, c=z, s=50, alpha=0.7)

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.064 seconds)


.. _sphx_glr_download_classes_base_classes_data_plot_scatter2d.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_scatter2d.ipynb <plot_scatter2d.ipynb>`

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

      :download:`Download Python source code: plot_scatter2d.py <plot_scatter2d.py>`

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

      :download:`Download zipped: plot_scatter2d.zip <plot_scatter2d.zip>`