First, you need to import the following libraries:

  • matplotlib for creating the chart and customize it
  • pandas for storing the data used
import matplotlib.pyplot as plt
import pandas as pd


In this post, we'll use a very simple dataset, that you can create as follow

height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')

df = pd.DataFrame({'height': height,
                   'bars': bars})

Uniform color using RGB

You can change the color of bars in a barplot using the 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.

color = (0.2, # redness
         0.4, # greenness
         0.2, # blueness
         0.6 # transparency

# Create bars
fig, ax = plt.subplots()['bars'], df['height'],

# Show graph

Different color for each bar

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

You can find the available colors at this address

color = ['lightblue', 'blue', 'purple', 'red', 'black']

# Create bars
fig, ax = plt.subplots()['bars'], df['height'],

# Show graph

Control color of border

The edgecolor argument allows you to color the borders of barplots. You can either put a color name like 'blue' or put a list of colors.

We also specify linewidth=3 in order to make the edges more visible (the default value is 1 and can be too thin).

color = ['lightblue', 'blue', 'purple', 'red', 'black']
edgecolor = ['red', 'orange', 'darkblue', 'darkred', 'yellow']

# Create bars
fig, ax = plt.subplots()['bars'], df['height'],

# Show graph

Going further

This post explains how to modify the colors of a barplot with matplotlib.

You might want to check how to custom width of bars and how to flip a barplot.

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