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

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

.. _sphx_glr_11_demos_python_packages_matplotlib_demo_ggplot.py:

GGPlot
=========

This example demonstrates the ``ggplot`` style, which adjusts the style to
emulate ggplot_ (a popular plotting package for R_).

These settings were shamelessly stolen from [1]_ (with permission).

.. [1] http://www.huyng.com/posts/sane-color-scheme-for-matplotlib/

.. _ggplot: http://had.co.nz/ggplot/
.. _R: http://www.r-project.org/

.. GENERATED FROM PYTHON SOURCE LINES 14-60



.. image-sg:: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_ggplot_001.png
   :alt: demo ggplot
   :srcset: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_ggplot_001.png
   :class: sphx-glr-single-img





.. code-block:: default

    import numpy as np
    import matplotlib.pyplot as plt

    plt.style.use("ggplot")

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    fig, axes = plt.subplots(ncols=2, nrows=2)
    ax1, ax2, ax3, ax4 = axes.ravel()

    # scatter plot (Note: `plt.scatter` doesn't use default colors)
    x, y = np.random.normal(size=(2, 200))
    ax1.plot(x, y, "o")

    # sinusoidal lines with colors from default color cycle
    L = 2 * np.pi
    x = np.linspace(0, L)
    ncolors = len(plt.rcParams["axes.prop_cycle"])
    shift = np.linspace(0, L, ncolors, endpoint=False)
    for s in shift:
        ax2.plot(x, np.sin(x + s), "-")
    ax2.margins(0)

    # bar graphs
    x = np.arange(5)
    y1, y2 = np.random.randint(1, 25, size=(2, 5))
    width = 0.25
    ax3.bar(x, y1, width)
    ax3.bar(
        x + width,
        y2,
        width,
        color=list(plt.rcParams["axes.prop_cycle"])[2]["color"],
    )
    ax3.set_xticks(x + width)
    ax3.set_xticklabels(["a", "b", "c", "d", "e"])

    # circles with colors from default color cycle
    for i, color in enumerate(plt.rcParams["axes.prop_cycle"]):
        xy = np.random.normal(size=2)
        ax4.add_patch(plt.Circle(xy, radius=0.3, color=color["color"]))
    ax4.axis("equal")
    ax4.margins(0)

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.224 seconds)


.. _sphx_glr_download_11_demos_python_packages_matplotlib_demo_ggplot.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_ggplot.py <demo_ggplot.py>`

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

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