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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_gallery_lines_bars_and_markers_fill_between_demo.py>`
        to download the full example code

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

.. _sphx_glr_gallery_lines_bars_and_markers_fill_between_demo.py:


==============================
Filling the area between lines
==============================

This example shows how to use `~.axes.Axes.fill_between` to color the area
between two lines.

.. GENERATED FROM PYTHON SOURCE LINES 9-13

.. code-block:: default


    import matplotlib.pyplot as plt
    import numpy as np








.. GENERATED FROM PYTHON SOURCE LINES 14-18

Basic usage
-----------
The parameters *y1* and *y2* can be scalars, indicating a horizontal
boundary at the given y-values. If only *y1* is given, *y2* defaults to 0.

.. GENERATED FROM PYTHON SOURCE LINES 19-37

.. code-block:: default


    x = np.arange(0.0, 2, 0.01)
    y1 = np.sin(2 * np.pi * x)
    y2 = 0.8 * np.sin(4 * np.pi * x)

    fig, (ax1, ax2, ax3) = plt.subplots(3, 1, sharex=True, figsize=(6, 6))

    ax1.fill_between(x, y1)
    ax1.set_title('fill between y1 and 0')

    ax2.fill_between(x, y1, 1)
    ax2.set_title('fill between y1 and 1')

    ax3.fill_between(x, y1, y2)
    ax3.set_title('fill between y1 and y2')
    ax3.set_xlabel('x')
    fig.tight_layout()




.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_between_demo_001.png
    :alt: fill between y1 and 0, fill between y1 and 1, fill between y1 and y2
    :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 38-47

Example: Confidence bands
-------------------------
A common application for `~.axes.Axes.fill_between` is the indication of
confidence bands.

`~.axes.Axes.fill_between` uses the colors of the color cycle as the fill
color. These may be a bit strong when applied to fill areas. It is
therefore often a good practice to lighten the color by making the area
semi-transparent using *alpha*.

.. GENERATED FROM PYTHON SOURCE LINES 48-65

.. code-block:: default



    N = 21
    x = np.linspace(0, 10, 11)
    y = [3.9, 4.4, 10.8, 10.3, 11.2, 13.1, 14.1,  9.9, 13.9, 15.1, 12.5]

    # fit a linear curve an estimate its y-values and their error.
    a, b = np.polyfit(x, y, deg=1)
    y_est = a * x + b
    y_err = x.std() * np.sqrt(1/len(x) +
                              (x - x.mean())**2 / np.sum((x - x.mean())**2))

    fig, ax = plt.subplots()
    ax.plot(x, y_est, '-')
    ax.fill_between(x, y_est - y_err, y_est + y_err, alpha=0.2)
    ax.plot(x, y, 'o', color='tab:brown')




.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_between_demo_002.png
    :alt: fill between demo
    :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none


    [<matplotlib.lines.Line2D object at 0x7f73b7d201c0>]



.. GENERATED FROM PYTHON SOURCE LINES 67-79

Selectively filling horizontal regions
--------------------------------------
The parameter *where* allows to specify the x-ranges to fill. It's a boolean
array with the same size as *x*.

Only x-ranges of contiguous *True* sequences are filled. As a result the
range between neighboring *True* and *False* values is never filled. This
often undesired when the data points should represent a contiguous quantity.
It is therefore recommended to set ``interpolate=True`` unless the
x-distance of the data points is fine enough so that the above effect is not
noticeable. Interpolation approximates the actual x position at which the
*where* condition will change and extends the filling up to there.

.. GENERATED FROM PYTHON SOURCE LINES 80-102

.. code-block:: default


    x = np.array([0, 1, 2, 3])
    y1 = np.array([0.8, 0.8, 0.2, 0.2])
    y2 = np.array([0, 0, 1, 1])

    fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)

    ax1.set_title('interpolation=False')
    ax1.plot(x, y1, 'o--')
    ax1.plot(x, y2, 'o--')
    ax1.fill_between(x, y1, y2, where=(y1 > y2), color='C0', alpha=0.3)
    ax1.fill_between(x, y1, y2, where=(y1 < y2), color='C1', alpha=0.3)

    ax2.set_title('interpolation=True')
    ax2.plot(x, y1, 'o--')
    ax2.plot(x, y2, 'o--')
    ax2.fill_between(x, y1, y2, where=(y1 > y2), color='C0', alpha=0.3,
                     interpolate=True)
    ax2.fill_between(x, y1, y2, where=(y1 <= y2), color='C1', alpha=0.3,
                     interpolate=True)
    fig.tight_layout()




.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_between_demo_003.png
    :alt: interpolation=False, interpolation=True
    :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 103-109

.. note::

   Similar gaps will occur if *y1* or *y2* are masked arrays. Since missing
   values cannot be approximated, *interpolate* has no effect in this case.
   The gaps around masked values can only be reduced by adding more data
   points close to the masked values.

.. GENERATED FROM PYTHON SOURCE LINES 112-121

Selectively marking horizontal regions across the whole Axes
------------------------------------------------------------
The same selection mechanism can be applied to fill the full vertical height
of the axes. To be independent of y-limits, we add a transform that
interprets the x-values in data coorindates and the y-values in axes
coordinates.

The following example marks the regions in which the y-data are above a
given threshold.

.. GENERATED FROM PYTHON SOURCE LINES 122-133

.. code-block:: default


    fig, ax = plt.subplots()
    x = np.arange(0, 4 * np.pi, 0.01)
    y = np.sin(x)
    ax.plot(x, y, color='black')

    threshold = 0.75
    ax.axhline(threshold, color='green', lw=2, alpha=0.7)
    ax.fill_between(x, 0, 1, where=y > threshold,
                    color='green', alpha=0.5, transform=ax.get_xaxis_transform())




.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_between_demo_004.png
    :alt: fill between demo
    :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none


    <matplotlib.collections.PolyCollection object at 0x7f73b784a5b0>



.. GENERATED FROM PYTHON SOURCE LINES 134-141

------------

References
""""""""""

The use of the following functions, methods and classes is shown
in this example:

.. GENERATED FROM PYTHON SOURCE LINES 142-147

.. code-block:: default


    import matplotlib
    matplotlib.axes.Axes.fill_between
    matplotlib.pyplot.fill_between
    matplotlib.axes.Axes.get_xaxis_transform




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

 Out:

 .. code-block:: none


    <function _AxesBase.get_xaxis_transform at 0x7f73be8d9700>




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

   **Total running time of the script:** ( 0 minutes  3.125 seconds)


.. _sphx_glr_download_gallery_lines_bars_and_markers_fill_between_demo.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_
