Adding symbols to some variables in matplotlib bar plots

Question

I would like to add stars to certain variables in a matplotlib.pyplot bar plot.

import numpy as np
import matplotlib.pyplot as plt
N = 5
menMeans = (20, 35, 30, 35, 27)
womenMeans = (25, 32, 34, 20, 25)
ind = np.arange(N) # the x locations for the groups
width = 0.35
fig = plt.figure()
ax = fig.add_axes([0,0,1,1])
ax.bar(ind, menMeans, width, color='r')
ax.bar(ind, womenMeans, width,bottom=menMeans, color='b')
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
ax.set_yticks(np.arange(0, 81, 10))
ax.legend(labels=['Men', 'Women'])
plt.show()

Supose I wanted to add stars *** to the top of the bars at G1 and G3. How could I do this?

Does this answer your question? [Python, Seaborn - How to add significance bars and asterisks to boxplots](https://stackoverflow.com/questions/37707406/python-seaborn-how-to-add-significance-bars-and-asterisks-to-boxplots) — STerliakov, Aug 01 '22 at 06:47
For example, a three star rating for G1 can be handled by.`ax.text(x=0, y=45, s='***', ha='center', font=dict(size=20))` — r-beginners, Aug 01 '22 at 06:50

score 1 · Accepted Answer · answered Aug 01 '22 at 10:52

You could do it by placing the *** with matplotlib.axes.Axes.text . First calculate, the bar heights by summing both meanMeans and womenMeans, then pass the bar as x and the height as y.

# Add *** to G1 and G3
bar_heights = [mm + wm for mm, wm in zip(menMeans, womenMeans)]
ax.text(x=0, y=bar_heights[0]+1, s="***", ha='center', va='center', fontsize=15)
ax.text(x=2, y=bar_heights[2]+1, s="***", ha='center', va='center', fontsize=15)

plt.show()

Adding symbols to some variables in matplotlib bar plots

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