Change texture in Matplotlib barplot

logo of a chart:Bar

This post describes how to change the textures of bars in a basic barplot using matplotlib.


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 = [8, 7, 3, 12, 9]
bars = ('A', 'B', 'C', 'D', 'E')

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

Define the Hatch

This example provides a reproducible code in which you can change the texture of the bars using the set_hatch() function of matplotlib.

It must be in the following list: '/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'

# Create a figure and axis
fig, ax = plt.subplots()

# Create bars['bars'], df['height'],

# Show the graphic

Multiple hatchs

If you want to have a different hatch for each bar, we need to make some modifications in the initial code:

  • define a list of hatches (with the same length as the number of bars)
  • iterate over each bar and set the wanted hatch
# Create a figure and axis
fig, ax = plt.subplots()

# Create bars
bars =['bars'], df['height'])

# Define some hatches
hatches = ['-', '/', '||', '*', '+']
for bar, hatch in zip(bars, hatches):

# Show the graphic

Going further

This post explains how to change texture of a barplot with matplotlib.

You might want to check how to custom width of bars and how to change colors of the bars.

Contact & Edit

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