.. _sphx_glr_gallery_lines_bars_and_markers_bar_stacked.py: ================= Stacked Bar Graph ================= This is an example of creating a stacked bar plot with error bars using `~matplotlib.pyplot.bar`. Note the parameters *yerr* used for error bars, and *bottom* to stack the women's bars on top of the men's bars. .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_stacked_001.png :align: center .. code-block:: python import numpy as np import matplotlib.pyplot as plt N = 5 menMeans = (20, 35, 30, 35, 27) womenMeans = (25, 32, 34, 20, 25) menStd = (2, 3, 4, 1, 2) womenStd = (3, 5, 2, 3, 3) ind = np.arange(N) # the x locations for the groups width = 0.35 # the width of the bars: can also be len(x) sequence p1 = plt.bar(ind, menMeans, width, yerr=menStd) p2 = plt.bar(ind, womenMeans, width, bottom=menMeans, yerr=womenStd) plt.ylabel('Scores') plt.title('Scores by group and gender') plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5')) plt.yticks(np.arange(0, 81, 10)) plt.legend((p1[0], p2[0]), ('Men', 'Women')) plt.show() **Total running time of the script:** ( 0 minutes 0.030 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: bar_stacked.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: bar_stacked.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_