.. 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_stackplot_demo.py:
===========================
Stackplots and streamgraphs
===========================
Stackplots
----------
Stackplots draw multiple datasets as vertically stacked areas. This is
useful when the individual data values and additionally their cumulative
value are of interest.
.. code-block:: default
import numpy as np
import matplotlib.pyplot as plt
# data from United Nations World Population Prospects (Revision 2019)
# https://population.un.org/wpp/, license: CC BY 3.0 IGO
year = [1950, 1960, 1970, 1980, 1990, 2000, 2010, 2018]
population_by_continent = {
'africa': [228, 284, 365, 477, 631, 814, 1044, 1275],
'americas': [340, 425, 519, 619, 727, 840, 943, 1006],
'asia': [1394, 1686, 2120, 2625, 3202, 3714, 4169, 4560],
'europe': [220, 253, 276, 295, 310, 303, 294, 293],
'oceania': [12, 15, 19, 22, 26, 31, 36, 39],
}
fig, ax = plt.subplots()
ax.stackplot(year, population_by_continent.values(),
labels=population_by_continent.keys())
ax.legend(loc='upper left')
ax.set_title('World population')
ax.set_xlabel('Year')
ax.set_ylabel('Number of people (millions)')
plt.show()
.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_stackplot_demo_001.png
:alt: World population
:class: sphx-glr-single-img
Streamgraphs
------------
Using the *baseline* parameter, you can turn an ordinary stacked area plot
with baseline 0 into a stream graph.
.. code-block:: default
# Fixing random state for reproducibility
np.random.seed(19680801)
def gaussian_mixture(x, n=5):
"""Return a random mixture of *n* Gaussians, evaluated at positions *x*."""
def add_random_gaussian(a):
amplitude = 1 / (.1 + np.random.random())
dx = x[-1] - x[0]
x0 = (2 * np.random.random() - .5) * dx
z = 10 / (.1 + np.random.random()) / dx
a += amplitude * np.exp(-(z * (x - x0))**2)
a = np.zeros_like(x)
for j in range(n):
add_random_gaussian(a)
return a
x = np.linspace(0, 100, 101)
ys = [gaussian_mixture(x) for _ in range(3)]
fig, ax = plt.subplots()
ax.stackplot(x, ys, baseline='wiggle')
plt.show()
.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_stackplot_demo_002.png
:alt: stackplot demo
:class: sphx-glr-single-img
.. _sphx_glr_download_gallery_lines_bars_and_markers_stackplot_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: stackplot_demo.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: stackplot_demo.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
Keywords: matplotlib code example, codex, python plot, pyplot
`Gallery generated by Sphinx-Gallery
`_