.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "11_demos\python_packages\seaborn\demo_bivariate.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_seaborn_demo_bivariate.py>`
        to download the full example code.

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

.. _sphx_glr_11_demos_python_packages_seaborn_demo_bivariate.py:

Bivariate
============

.. GENERATED FROM PYTHON SOURCE LINES 5-24



.. image-sg:: /11_demos/python_packages/seaborn/images/sphx_glr_demo_bivariate_001.png
   :alt: demo bivariate
   :srcset: /11_demos/python_packages/seaborn/images/sphx_glr_demo_bivariate_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    <Axes: >





|

.. code-block:: Python


    import numpy as np
    import seaborn as sns
    import matplotlib.pyplot as plt

    sns.set_theme(style="dark")

    # Simulate data from a bivariate Gaussian
    n = 10000
    mean = [0, 0]
    cov = [(2, 0.4), (0.4, 0.2)]
    rng = np.random.RandomState(0)
    x, y = rng.multivariate_normal(mean, cov, n).T

    # Draw a combo histogram and scatterplot with density contours
    f, ax = plt.subplots(figsize=(6, 6))
    sns.scatterplot(x=x, y=y, s=5, color=".15")
    sns.histplot(x=x, y=y, bins=50, pthresh=0.1, cmap="mako")
    sns.kdeplot(x=x, y=y, levels=5, color="w", linewidths=1)


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

   **Total running time of the script:** (0 minutes 15.003 seconds)


.. _sphx_glr_download_11_demos_python_packages_seaborn_demo_bivariate.py:

.. only:: html

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

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

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

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

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

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

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