.. _sphx_glr_gallery_lines_bars_and_markers_fill.py: ============== Fill plot demo ============== Demo fill plot. .. code-block:: python import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 1, 500) y = np.sin(4 * np.pi * x) * np.exp(-5 * x) First, the most basic fill plot a user can make with matplotlib: .. code-block:: python fig, ax = plt.subplots() ax.fill(x, y, zorder=10) ax.grid(True, zorder=5) x = np.linspace(0, 2 * np.pi, 500) y1 = np.sin(x) y2 = np.sin(3 * x) .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_001.png :align: center Next, a few more optional features: * Multiple curves with a single command. * Setting the fill color. * Setting the opacity (alpha value). .. code-block:: python fig, ax = plt.subplots() ax.fill(x, y1, 'b', x, y2, 'r', alpha=0.3) plt.show() .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_fill_002.png :align: center **Total running time of the script:** ( 0 minutes 0.035 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: fill.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: fill.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_