.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "11_demos\python_packages\matplotlib\demo_scatter3d.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_11_demos_python_packages_matplotlib_demo_scatter3d.py>`
        to download the full example code

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

.. _sphx_glr_11_demos_python_packages_matplotlib_demo_scatter3d.py:

Scatter 3D
=============

.. GENERATED FROM PYTHON SOURCE LINES 5-28



.. image-sg:: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_scatter3d_001.png
   :alt: demo scatter3d
   :srcset: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_scatter3d_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt


    def randrange(n, vmin, vmax):
        return (vmax - vmin) * np.random.rand(n) + vmin


    fig = plt.figure()
    ax = fig.add_subplot(111, projection="3d")
    n = 100
    for c, m, zl, zh in [("r", "o", -50, -25), ("b", "^", -30, -5)]:
        xs = randrange(n, 23, 32)
        ys = randrange(n, 0, 100)
        zs = randrange(n, zl, zh)
        ax.scatter(xs, ys, zs, c=c, marker=m)

    ax.set_xlabel("X Label")
    ax.set_ylabel("Y Label")
    ax.set_zlabel("Z Label")

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.116 seconds)


.. _sphx_glr_download_11_demos_python_packages_matplotlib_demo_scatter3d.py:

.. only:: html

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


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

      :download:`Download Python source code: demo_scatter3d.py <demo_scatter3d.py>`

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

      :download:`Download Jupyter notebook: demo_scatter3d.ipynb <demo_scatter3d.ipynb>`