In the following example, title, x label and y label are added to the barplot using the title(), xlabel(), and ylabel() functions of the matplotlib library.
Those functions are applied to a barplot in the example, but the same method would work for other chart types.
# libraries
import numpy as np
import matplotlib.pyplot as plt
# create dataset
height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')
x_pos = np.arange(len(bars))
# Create bars and choose color
plt.bar(x_pos, height, color = (0.5,0.1,0.5,0.6))
# Add title and axis names
plt.title('My title')
plt.xlabel('categories')
plt.ylabel('values')
# Create names on the x axis
plt.xticks(x_pos, bars)
# Show graph
plt.show()
Note: the matplotlib section provides a lot of tips and tricks on how to customize a matplotlib chart!
