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

    Click :ref:`here <sphx_glr_download_gallery_plot_cumhist.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_plot_cumhist.py:


`.cumhist` demo
---------------

Plot cumulative distribution without binning.




.. image:: /gallery/images/sphx_glr_plot_cumhist_001.png
    :class: sphx-glr-single-img





.. code-block:: python


    from matplotlib import pyplot
    import numpy

    import adaptiveheatmap

    data = numpy.random.randn(1000)
    adaptiveheatmap.cumhist(data)
    pyplot.show()

**Total running time of the script:** ( 0 minutes  0.044 seconds)


.. _sphx_glr_download_gallery_plot_cumhist.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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