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- #3 Uniform RGB color with matplotlib
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- #3 Color of bars | matplotlib
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- #3 control border color
This post aims to describe how to use colors on matplotlib barplots. First, let’s load libraries and create a fake dataset:
# libraries
import numpy as np
import matplotlib.pyplot as plt
# Make a fake dataset
height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')
y_pos = np.arange(len(bars))
Now let’s study 3 examples of color utilization:
- Uniform color using RGB
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RGB is a way of making colors. You have to to provide an amount of red, green and blue + the transparency and it returns a color.
plt.bar(y_pos, height, color=(0.2, 0.4, 0.6, 0.6)) plt.xticks(y_pos, bars) plt.show()
- Different color for each bar
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If you want to give different colors to each bar, just provide a list of color names to the color argument:
plt.bar(y_pos, height, color=['black', 'red', 'green', 'blue', 'cyan']) plt.xticks(y_pos, bars) plt.show()
- Control color of border
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The edgecolor argument allows to color the borders of barplots.
plt.bar(y_pos, height, color=(0.1, 0.1, 0.1, 0.1), edgecolor='blue') plt.xticks(y_pos, bars) plt.show()
