

.. _sphx_glr_gallery_mplot3d_scatter3d.py:


==============
3D scatterplot
==============

Demonstration of a basic scatterplot in 3D.




.. image:: /gallery/mplot3d/images/sphx_glr_scatter3d_001.png
    :align: center





.. code-block:: python


    from mpl_toolkits.mplot3d import Axes3D
    import matplotlib.pyplot as plt
    import numpy as np

    # Fixing random state for reproducibility
    np.random.seed(19680801)


    def randrange(n, vmin, vmax):
        '''
        Helper function to make an array of random numbers having shape (n, )
        with each number distributed Uniform(vmin, vmax).
        '''
        return (vmax - vmin)*np.random.rand(n) + vmin

    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')

    n = 100

    # For each set of style and range settings, plot n random points in the box
    # defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
    for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
        xs = randrange(n, 23, 32)
        ys = randrange(n, 0, 100)
        zs = randrange(n, zlow, zhigh)
        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()

**Total running time of the script:** ( 0 minutes  0.018 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: scatter3d.py <scatter3d.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: scatter3d.ipynb <scatter3d.ipynb>`

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

    `Generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
