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- #7 Custom axis name
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- #7 Custom labels
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- #7 Increase bottom margin
Here are 3 examples of customisation you could probably need for your barplots.
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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') y_pos = np.arange(len(bars)) # Create bars plt.bar(y_pos, height) # Create names on the x-axis plt.xticks(y_pos, bars, color='orange') plt.yticks(color='orange') # Show graphic plt.show() -
This example shows how to custom the group labels, through the xlabel function.
# libraries import numpy as np import matplotlib.pyplot as plt # Create data height = [3, 12, 5, 18, 45] bars = ('A','B','C','D','E') # Create bars plt.bar(y_pos, height) # Create names on the x-axis plt.xticks(y_pos, bars) plt.xlabel('category', fontweight='bold', color = 'orange', fontsize='18') # Show graphic plt.show() -
A common problem in barplot is to find a way to display the group labels properly. If you them to be readable, you probably need to rotate them and increase the margin size:
# 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") # Create bars plt.bar(y_pos, height) # Rotation of the bars names plt.xticks(y_pos, bars, rotation=90) # Custom the subplot layout plt.subplots_adjust(bottom=0.4, top=0.99) # Show graphic plt.show()
