.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/lines_bars_and_markers/bar_stacked.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. meta:: :keywords: codex .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_lines_bars_and_markers_bar_stacked.py: ================= Stacked bar chart ================= This is an example of creating a stacked bar plot using `~matplotlib.pyplot.bar`. .. GENERATED FROM PYTHON SOURCE LINES 9-37 .. image-sg:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_stacked_001.png :alt: Number of penguins with above average body mass :srcset: /gallery/lines_bars_and_markers/images/sphx_glr_bar_stacked_001.png, /gallery/lines_bars_and_markers/images/sphx_glr_bar_stacked_001_2_00x.png 2.00x :class: sphx-glr-single-img .. code-block:: Python import matplotlib.pyplot as plt import numpy as np # data from https://allisonhorst.github.io/palmerpenguins/ species = ( "Adelie\n $\\mu=$3700.66g", "Chinstrap\n $\\mu=$3733.09g", "Gentoo\n $\\mu=5076.02g$", ) weight_counts = { "Below": np.array([70, 31, 58]), "Above": np.array([82, 37, 66]), } width = 0.5 fig, ax = plt.subplots() bottom = np.zeros(3) for boolean, weight_count in weight_counts.items(): p = ax.bar(species, weight_count, width, label=boolean, bottom=bottom) bottom += weight_count ax.set_title("Number of penguins with above average body mass") ax.legend(loc="upper right") plt.show() .. _sphx_glr_download_gallery_lines_bars_and_markers_bar_stacked.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: bar_stacked.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: bar_stacked.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_