How to increase the thickness of error line in a Matplotlib bar chart?

To increase the thickness of error line in a Matplotlib bar chart, we can use err_kw=dict() with their properties.

Steps

• Set the figure size and adjust the padding between and around the subplots.
• Make a dictionary of bar details.
• Create a figure and a set of subplots.
• Use bar() method to make a bar plot with yerr and err_kw
• To display the figure, use show() method.

Example

import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True bar_details = {    "labels": ['G1', 'G2', 'G3', 'G4', 'G5'],    "men_means": [20, 35, 30, 35, 27],    "men_std": [2, 3, 4, 1, 2],    "width": 0.35 } fig, ax = plt.subplots() ax.bar(bar_details["labels"], bar_details["men_means"], bar_details["width"],       yerr=bar_details["men_std"], label='Men',       error_kw=dict(lw=5, capsize=5, capthick=3)) plt.show()

Output