Labels

You can change the color of x and y axis labels using color argument in the xticks() and yticks() functions. The parameters in the xticks() function in the following example are:

  • x_pos : A list of positions at which ticks should be placed.
  • bars : A list of explicit labels to place.
  • color : Color of the labels.
# libraries
import numpy as np
import matplotlib.pyplot as plt

# Choose the height of the bars
height = [3, 12, 5, 18, 45]

# Choose the names of the bars
bars = ('group1', 'group2', 'group3', 'group4', 'group5')
x_pos = np.arange(len(bars))

# Create bars
plt.bar(x_pos, height)

# Create names on the x-axis
plt.xticks(x_pos, bars, color='orange')
plt.yticks(color='orange')

# Show graphic
plt.show()

Axis Title

You can add a title(label) to the x axis and y axis of the plot using xlabel() and ylabel() functions.

# libraries
import numpy as np
import matplotlib.pyplot as plt
 
# Create data
height = [3, 12, 5, 18, 45]
bars = ('A','B','C','D','E')
x_pos = np.arange(len(bars))
 
# Create bars
plt.bar(x_pos, height)
 
# Create names on the x-axis
plt.xticks(x_pos, bars)

# 
plt.xlabel('category', fontweight='bold', color = 'orange', fontsize='18')
 
# Show graphic
plt.show()

Label Rotation and Figure Margins

It is possible to rotate x and y tick labels using rotation argument in the xticks() and yticks() functions. You can also change the margins of your plot area by subplots_adjust() function.

# libraries
import numpy as np
import matplotlib.pyplot as plt
 
# Create data
height = [3, 12, 5, 18, 45]
bars = ("very long group name 1","very long group name 2","very long group name 3","very long group name 4","very long group name 5")
x_pos = np.arange(len(bars))
 
# Create bars
plt.bar(x_pos, height)
 
# Rotation of the bar names
plt.xticks(x_pos, bars, rotation=90)
 
# Custom the subplot layout
plt.subplots_adjust(bottom=0.4, top=0.99)
 
# Show graphic
plt.show()

Contact & Edit


👋 This document is a work by Yan Holtz. You can contribute on github, send me a feedback on twitter or subscribe to the newsletter to know when new examples are published! 🔥

This page is just a jupyter notebook, you can edit it here. Please help me making this website better 🙏!