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How to avoid overlapping error bars in matplotlib?
To avoid overlapping error bars in matplotlib, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a list of names.
Get the data points for y1 and y2, and errors ye1, ye2.
Create a figure and a set of subplots.
Create a mutable 2D affine transformation, trans1 and trans2.
Plot y versus x as lines and/or markers with attached errorbars.
To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt from matplotlib.transforms import Affine2D plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = ['Jack', 'James', 'Tom', 'Garry'] y1, y2 = np.random.randn(2, len(x)) ye1, ye2 = np.random.rand(2, len(x))*4+0.3 fig, ax = plt.subplots() trans1 = Affine2D().translate(-0.1, 0.0) + ax.transData trans2 = Affine2D().translate(0.1, 0.0) + ax.transData er1 = ax.errorbar(x, y1, yerr=ye1, marker="*", linestyle="none", transform=trans1) er2 = ax.errorbar(x, y2, yerr=ye2, marker="o", linestyle="none", transform=trans2) plt.show()
Output
It will produce the following output −
Updated on: 02-Feb-2022
2K+ Views
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