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()
