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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_numpy_digitize.py>`
        to download the full example code or to run this example in your browser via Binder

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

.. _sphx_glr_auto_examples_numpy_digitize.py:


=========================
4.3 quantile and digitize
=========================

This file describes the concept of quantile and how to cclculate it in numpy
and various functions around it.

.. GENERATED FROM PYTHON SOURCE LINES 10-15

.. code-block:: default


    import numpy as np

    print(np.__version__)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    1.26.4




.. GENERATED FROM PYTHON SOURCE LINES 16-21

.. code-block:: default


    x = np.array([1,2,3,4,5])

    np.quantile(x, 0.5)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    3.0



.. GENERATED FROM PYTHON SOURCE LINES 22-27

.. code-block:: default


    x = np.array([1,2,2,3,3,4,5])

    np.quantile(x, 0.5)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    3.0



.. GENERATED FROM PYTHON SOURCE LINES 28-31

so quantile actually means that what will be that value that if
we distribute the values of the array 50% on one side and 50% on other
side. 50% because we have used 0.5

.. GENERATED FROM PYTHON SOURCE LINES 31-36

.. code-block:: default


    x = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

    print(np.quantile(x, 0.5))





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    4.5




.. GENERATED FROM PYTHON SOURCE LINES 37-40

.. code-block:: default


    print(np.quantile(x, 0.2))





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    1.8




.. GENERATED FROM PYTHON SOURCE LINES 41-44

.. code-block:: default


    print(np.quantile(x, [0.2, 0.5]))





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [1.8 4.5]




.. GENERATED FROM PYTHON SOURCE LINES 45-48

.. code-block:: default


    print(np.quantile(np.arange(10, 20), [0.2, 0.5]))





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [11.8 14.5]




.. GENERATED FROM PYTHON SOURCE LINES 49-50

what if the array is 2D

.. GENERATED FROM PYTHON SOURCE LINES 52-54

.. code-block:: default

    print(np.quantile(np.arange(20).reshape(-1, 10), [0.2, 0.5]))





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [3.8 9.5]




.. GENERATED FROM PYTHON SOURCE LINES 55-61

.. code-block:: python

 np.quantile([1.8, 11.8], 0.2)
 # 3.8
 np.quantile([4.5, 14.5], 0.5)
 # 9.5


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

   **Total running time of the script:** ( 0 minutes  0.005 seconds)


.. _sphx_glr_download_auto_examples_numpy_digitize.py:

.. only:: html

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


    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/AtrCheema/python-seekho/master?urlpath=lab/tree/notebooks/auto_examples/numpy/digitize.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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