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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_11_demos_python_packages_numpy_demo_operations.py>`
        to download the full example code.

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

.. _sphx_glr_11_demos_python_packages_numpy_demo_operations.py:

Operations
=============

.. GENERATED FROM PYTHON SOURCE LINES 4-8

.. code-block:: Python


    import numpy as np









.. GENERATED FROM PYTHON SOURCE LINES 10-11

**Arithmetic**

.. GENERATED FROM PYTHON SOURCE LINES 11-15

.. code-block:: Python

    array = np.array([20, 30, 40, 50])
    array2 = np.arange(4)
    array2 - array





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

 .. code-block:: none


    array([-20, -29, -38, -47])



.. GENERATED FROM PYTHON SOURCE LINES 16-18

.. code-block:: Python

    array2**2





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

 .. code-block:: none


    array([0, 1, 4, 9])



.. GENERATED FROM PYTHON SOURCE LINES 19-21

.. code-block:: Python

    10 * np.sin(array)





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

 .. code-block:: none


    array([ 9.12945251, -9.88031624,  7.4511316 , -2.62374854])



.. GENERATED FROM PYTHON SOURCE LINES 22-24

.. code-block:: Python

    array < 35





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

 .. code-block:: none


    array([ True,  True, False, False])



.. GENERATED FROM PYTHON SOURCE LINES 25-28

**Matrix operations**

elementwise product

.. GENERATED FROM PYTHON SOURCE LINES 28-32

.. code-block:: Python

    A = np.array([[1, 1], [0, 1]])
    B = np.array([[2, 0], [3, 4]])
    A * B





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

 .. code-block:: none


    array([[2, 0],
           [0, 4]])



.. GENERATED FROM PYTHON SOURCE LINES 33-34

matrix product

.. GENERATED FROM PYTHON SOURCE LINES 34-37

.. code-block:: Python

    A @ B
    A.dot(B)





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

 .. code-block:: none


    array([[5, 4],
           [3, 4]])



.. GENERATED FROM PYTHON SOURCE LINES 38-39

**Inline operation**

.. GENERATED FROM PYTHON SOURCE LINES 39-45

.. code-block:: Python

    randVal = np.random.default_rng(1)
    a = np.ones((2, 3), dtype=int)
    b = randVal.random((2, 3))
    a *= 3
    a





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

 .. code-block:: none


    array([[3, 3, 3],
           [3, 3, 3]])



.. GENERATED FROM PYTHON SOURCE LINES 46-49

.. code-block:: Python

    b += a
    b





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

 .. code-block:: none


    array([[3.51182162, 3.9504637 , 3.14415961],
           [3.94864945, 3.31183145, 3.42332645]])



.. GENERATED FROM PYTHON SOURCE LINES 50-51

**Operations on all elements**

.. GENERATED FROM PYTHON SOURCE LINES 51-54

.. code-block:: Python

    a = randVal.random((2, 3))
    a.sum()





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

 .. code-block:: none


    3.1057109529998157



.. GENERATED FROM PYTHON SOURCE LINES 55-57

.. code-block:: Python

    a.min()





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

 .. code-block:: none


    0.027559113243068367



.. GENERATED FROM PYTHON SOURCE LINES 58-60

.. code-block:: Python

    a.mean()





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

 .. code-block:: none


    0.5176184921666359



.. GENERATED FROM PYTHON SOURCE LINES 61-63

.. code-block:: Python

    a.max()





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

 .. code-block:: none


    0.8277025938204418



.. GENERATED FROM PYTHON SOURCE LINES 64-69

.. code-block:: Python

    b = np.arange(12).reshape(3, 4)
    b.sum(axis=0)  # sum of each column
    b.min(axis=1)  # min of each row
    b.cumsum(axis=1)  # cumulative sum along each row





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

 .. code-block:: none


    array([[ 0,  1,  3,  6],
           [ 4,  9, 15, 22],
           [ 8, 17, 27, 38]])



.. GENERATED FROM PYTHON SOURCE LINES 70-71

**Universal functions**

.. GENERATED FROM PYTHON SOURCE LINES 71-74

.. code-block:: Python

    B = np.arange(3)
    np.exp(B)





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

 .. code-block:: none


    array([1.        , 2.71828183, 7.3890561 ])



.. GENERATED FROM PYTHON SOURCE LINES 75-77

.. code-block:: Python

    np.sqrt(B)





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

 .. code-block:: none


    array([0.        , 1.        , 1.41421356])



.. GENERATED FROM PYTHON SOURCE LINES 78-80

.. code-block:: Python

    C = np.array([2.0, -1.0, 4.0])
    np.add(B, C)




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

 .. code-block:: none


    array([2., 0., 6.])




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

   **Total running time of the script:** (0 minutes 0.019 seconds)


.. _sphx_glr_download_11_demos_python_packages_numpy_demo_operations.py:

.. only:: html

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

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

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

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

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

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

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