#10 Barplot with number of observation

This page explains how to display the number of observation per group on a barplot. Just use the text function of matplotlib to add the label one by one in a loop.

If you need to add the number of observation on top of each bar, it means that you have several observation per group. In this case, barplot is probably not the most appropriate method for visualising your data! Indeed, all the information behind each bar is lost.

You should probably try to use a violin plot or a boxplot. Another solution can be to add error bars at the top of each bar.

# library
import matplotlib.pyplot as plt

# Create bars
barWidth = 0.9
bars1 = [3, 3, 1]
bars2 = [4, 2, 3]
bars3 = [4, 6, 7, 10, 4, 4]
bars4 = bars1 + bars2 + bars3

# The X position of bars
r1 = [1,5,9]
r2 = [2,6,10]
r3 = [3,4,7,8,11,12]
r4 = r1 + r2 + r3

# Create barplot
plt.bar(r1, bars1, width = barWidth, color = (0.3,0.1,0.4,0.6), label='Alone')
plt.bar(r2, bars2, width = barWidth, color = (0.3,0.5,0.4,0.6), label='With Himself')
plt.bar(r3, bars3, width = barWidth, color = (0.3,0.9,0.4,0.6), label='With other genotype')
# Note: the barplot could be created easily. See the barplot section for other examples.

# Create legend
plt.legend()

# Text below each barplot with a rotation at 90°
plt.xticks([r + barWidth for r in range(len(r4))], ['DD', 'with himself', 'with DC', 'with Silur', 'DC', 'with himself', 'with DD', 'with Silur', 'Silur', 'with himself', 'with DD', 'with DC'], rotation=90)

# Create labels
label = ['n = 6', 'n = 25', 'n = 13', 'n = 36', 'n = 30', 'n = 11', 'n = 16', 'n = 37', 'n = 14', 'n = 4', 'n = 31', 'n = 34']

# Text on the top of each barplot
for i in range(len(r4)):
plt.text(x = r4[i]-0.5 , y = bars4[i]+0.1, s = label[i], size = 6)

# Adjust the margins
plt.subplots_adjust(bottom= 0.2, top = 0.98)

# Show graphic
plt.show()