Indicating the statistically significant difference in bar graph (Matplotlib)

To indicate the statistically significant difference in bar graph, we can take the following steps −

• Set the figure size and adjust the padding between and around the subplots.
• Create means, std, index, width and labels data points.
• Create a figure and a set of subplots using subplots() method.
• Make a bar plot using bar() method.
• Plot Y versus X as lines and/or markers with attached errorbars.Scale the Y-axis.
• Get or set the current tick locations and labels of the X-axis.
• To display the figure, use show() method.

Example

import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True means = (5, 15, 30, 40) std = (2, 3, 4, 5) index = np.arange(4) width = 0.7 labels = ('A', 'B', 'C', 'D') fig, ax = plt.subplots() ax.p1 = plt.bar(index, means, width=width, color="red",                linewidth=2, zorder=5, alpha=0.5) ax.errs = plt.errorbar(index, means, yerr=std) plt.ylim(ymax=60) plt.xticks(index, labels, color='k') plt.show()

Output