.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_gallery_lines_bars_and_markers_fill_betweenx_demo.py:
==================
Fill Betweenx Demo
==================
Using `~.Axes.fill_betweenx` to color along the horizontal direction between
two curves.
.. rst-class:: sphx-glr-horizontal
*
.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_betweenx_demo_001.png
:alt: between (x1, 0), between (x1, 1), between (x1, x2)
:class: sphx-glr-multi-img
*
.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_betweenx_demo_002.png
:alt: fill_betweenx where, regions with x2 > 1 are masked
:class: sphx-glr-multi-img
.. code-block:: default
import matplotlib.pyplot as plt
import numpy as np
y = np.arange(0.0, 2, 0.01)
x1 = np.sin(2 * np.pi * y)
x2 = 1.2 * np.sin(4 * np.pi * y)
fig, [ax1, ax2, ax3] = plt.subplots(1, 3, sharey=True, figsize=(6, 6))
ax1.fill_betweenx(y, 0, x1)
ax1.set_title('between (x1, 0)')
ax2.fill_betweenx(y, x1, 1)
ax2.set_title('between (x1, 1)')
ax2.set_xlabel('x')
ax3.fill_betweenx(y, x1, x2)
ax3.set_title('between (x1, x2)')
# now fill between x1 and x2 where a logical condition is met. Note
# this is different than calling
# fill_between(y[where], x1[where], x2[where])
# because of edge effects over multiple contiguous regions.
fig, [ax, ax1] = plt.subplots(1, 2, sharey=True, figsize=(6, 6))
ax.plot(x1, y, x2, y, color='black')
ax.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
ax.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
ax.set_title('fill_betweenx where')
# Test support for masked arrays.
x2 = np.ma.masked_greater(x2, 1.0)
ax1.plot(x1, y, x2, y, color='black')
ax1.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
ax1.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
ax1.set_title('regions with x2 > 1 are masked')
# This example illustrates a problem; because of the data
# gridding, there are undesired unfilled triangles at the crossover
# points. A brute-force solution would be to interpolate all
# arrays to a very fine grid before plotting.
plt.show()
.. _sphx_glr_download_gallery_lines_bars_and_markers_fill_betweenx_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_betweenx_demo.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: fill_betweenx_demo.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
Keywords: matplotlib code example, codex, python plot, pyplot
`Gallery generated by Sphinx-Gallery
`_