Control the color of barplots built with matplotlib


This post aims to describe how to use colors on matplotlib barplots.

Uniform color using RGB

You can change the color of bars in a barplot using color argument.
RGB is a way of making colors. You have to to provide an amount of red, green, blue, and the transparency value to the color argument and it returns a color.

# libraries
import numpy as np
import matplotlib.pyplot as plt
 
# create a dataset
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, color=(0.2, 0.4, 0.6, 0.6))

# Create names on the x-axis
plt.xticks(x_pos, bars)

# Show graph
plt.show()

Different color for each bar

If you want to give different colors to each bar, just provide a list of color names to the color argument:

# libraries
import numpy as np
import matplotlib.pyplot as plt
 
# create a dataset
height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')
x_pos = np.arange(len(bars))

# Create bars with different colors
plt.bar(x_pos, height, color=['black', 'red', 'green', 'blue', 'cyan'])

# Create names on the x-axis
plt.xticks(x_pos, bars)

# Show graph
plt.show()

Control color of border

The edgecolor argument allows you to color the borders of barplots.

# libraries
import numpy as np
import matplotlib.pyplot as plt
 
# create a dataset
height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')
x_pos = np.arange(len(bars))

# Create bars with blue edge color
plt.bar(x_pos, height, color=(0.1, 0.1, 0.1, 0.1),  edgecolor='blue')

# Create names on the x-axis
plt.xticks(x_pos, bars)

# Show graph
plt.show()

Barplot

Spider / Radar

Wordcloud

Parallel

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Circular Barplot

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