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<title>Generate polygons to fill under 3D line graph — Matplotlib 2.2.5 documentation</title>

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<div id="unreleased-message"> You are reading an old version of the documentation (v2.2.5). For the latest version see <a href="https://matplotlib.org/stable/gallery/mplot3d/polys3d.html">https://matplotlib.org/stable/gallery/mplot3d/polys3d.html</a></div>

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<h1>Generate polygons to fill under 3D line graph<a class="headerlink" href="#generate-polygons-to-fill-under-3d-line-graph" title="Permalink to this headline">¶</a></h1>

Demonstrate how to create polygons which fill the space under a line

graph. In this example polygons are semi-transparent, creating a sort

of 'jagged stained glass' effect.

<div class="highlight-default notranslate"><div class="highlight"><pre>from mpl_toolkits.mplot3d import Axes3D

from matplotlib.collections import <a href="../../api/collections_api.html#matplotlib.collections.PolyCollection" title="View documentation for matplotlib.collections.PolyCollection">PolyCollection</a>

import matplotlib.pyplot as plt

from matplotlib import colors as mcolors

import numpy as np

# Fixing random state for reproducibility

np.random.seed(19680801)

def cc(arg):

'''

Shorthand to convert 'named' colors to rgba format at 60% opacity.

'''

return <a href="../../api/_as_gen/matplotlib.colors.to_rgba.html#matplotlib.colors.to_rgba" title="View documentation for matplotlib.colors.to_rgba">mcolors.to_rgba</a>(arg, alpha=0.6)

def polygon_under_graph(xlist, ylist):

'''

Construct the vertex list which defines the polygon filling the space under

the (xlist, ylist) line graph. Assumes the xs are in ascending order.

'''

return [(xlist[0], 0.)] + list(zip(xlist, ylist)) + [(xlist[-1], 0.)]

<a href="../../api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="View documentation for matplotlib.figure.Figure">fig</a> = <a href="../../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="View documentation for matplotlib.pyplot.figure">plt.figure</a>()

ax = <a href="../../api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="View documentation for matplotlib.figure.Figure">fig</a>.gca(projection='3d')

# Make verts a list, verts[i] will be a list of (x,y) pairs defining polygon i

<a href="https://docs.python.org/3/library/stdtypes.html#list" title="View documentation for builtins.list">verts</a> = []

# Set up the x sequence

<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html#numpy.ndarray" title="View documentation for numpy.ndarray">xs</a> = <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.linspace.html#numpy.linspace" title="View documentation for numpy.linspace">np.linspace</a>(0., 10., 26)

# The ith polygon will appear on the plane y = zs[i]

<a href="https://docs.python.org/3/library/stdtypes.html#range" title="View documentation for builtins.range">zs</a> = range(4)

for <a href="https://docs.python.org/3/library/functions.html#int" title="View documentation for builtins.int">i</a> in <a href="https://docs.python.org/3/library/stdtypes.html#range" title="View documentation for builtins.range">zs</a>:

<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html#numpy.ndarray" title="View documentation for numpy.ndarray">ys</a> = np.random.rand(len(<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html#numpy.ndarray" title="View documentation for numpy.ndarray">xs</a>))

<a href="https://docs.python.org/3/library/stdtypes.html#list" title="View documentation for builtins.list">verts</a>.append(<a href="https://docs.python.org/3/library/functions.html#object" title="View documentation for builtins.object">polygon_under_graph</a>(<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html#numpy.ndarray" title="View documentation for numpy.ndarray">xs</a>, <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html#numpy.ndarray" title="View documentation for numpy.ndarray">ys</a>))

poly = <a href="../../api/collections_api.html#matplotlib.collections.PolyCollection" title="View documentation for matplotlib.collections.PolyCollection">PolyCollection</a>(<a href="https://docs.python.org/3/library/stdtypes.html#list" title="View documentation for builtins.list">verts</a>, facecolors=[<a href="https://docs.python.org/3/library/functions.html#object" title="View documentation for builtins.object">cc</a>('r'), <a href="https://docs.python.org/3/library/functions.html#object" title="View documentation for builtins.object">cc</a>('g'), <a href="https://docs.python.org/3/library/functions.html#object" title="View documentation for builtins.object">cc</a>('b'), <a href="https://docs.python.org/3/library/functions.html#object" title="View documentation for builtins.object">cc</a>('y')])

ax.add_collection3d(poly, <a href="https://docs.python.org/3/library/stdtypes.html#range" title="View documentation for builtins.range">zs</a>=<a href="https://docs.python.org/3/library/stdtypes.html#range" title="View documentation for builtins.range">zs</a>, zdir='y')

ax.set_xlabel('X')

ax.set_ylabel('Y')

ax.set_zlabel('Z')

ax.set_xlim(0, 10)

ax.set_ylim(-1, 4)

ax.set_zlim(0, 1)

<a href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="View documentation for matplotlib.pyplot.show">plt.show</a>()

</pre></div>

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<a class="reference download internal" download="" href="../../_downloads/6e55acc9173cc3141908cdd10f647520/polys3d.py"><code class="xref download docutils literal notranslate">Download Python source code: polys3d.py</code></a></div>

<a class="reference download internal" download="" href="../../_downloads/6e87e80efa4ec6cd2b8ea3ccbc80f107/polys3d.ipynb"><code class="xref download docutils literal notranslate">Download Jupyter notebook: polys3d.ipynb</code></a></div>

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Keywords: matplotlib code example, codex, python plot, pyplot

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