.. 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_streamplot_features.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_streamplot_features.py>`
        to download the full example code

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

.. _sphx_glr_11_demos_python_packages_matplotlib_demo_streamplot_features.py:

Streamplot
=============

Demo of the ``streamplot`` function.

A streamplot, or streamline plot, is used to display 2D vector fields. This
example shows a few features of the stream plot function:

* Varying the color along a streamline.
* Varying the density of streamlines.
* Varying the line width along a stream line.

.. GENERATED FROM PYTHON SOURCE LINES 13-31



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_streamplot_features_001.png
         :alt: demo streamplot features
         :srcset: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_streamplot_features_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_streamplot_features_002.png
         :alt: demo streamplot features
         :srcset: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_streamplot_features_002.png
         :class: sphx-glr-multi-img





.. code-block:: default

    import numpy as np
    import matplotlib.pyplot as plt

    Y, X = np.mgrid[-3:3:100j, -3:3:100j]
    U = -1 - X ** 2 + Y
    V = 1 + X - Y ** 2
    speed = np.sqrt(U * U + V * V)

    plt.streamplot(X, Y, U, V, color=U, linewidth=2, cmap=plt.cm.autumn)
    plt.colorbar()

    f, (ax1, ax2) = plt.subplots(ncols=2)
    ax1.streamplot(X, Y, U, V, density=[0.5, 1])

    lw = 5 * speed / speed.max()
    ax2.streamplot(X, Y, U, V, density=0.6, color="k", linewidth=lw)

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  1.686 seconds)


.. _sphx_glr_download_11_demos_python_packages_matplotlib_demo_streamplot_features.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_streamplot_features.py <demo_streamplot_features.py>`

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

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