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Controlling the width of bars in Matplotlib with per-month data
To control the width of bars in matplotlib with per-month data, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots
- Make a list of dates, x and y, using numpy.
- Plot the bar with x and y data points, with per-month data.
- To display the figure, use show() method.
Example
import numpy as np import datetime from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = [datetime.datetime(2021, 1, 1, 0, 0), datetime.datetime(2021, 2, 1, 0, 0), datetime.datetime(2021, 3, 1, 0, 0), ] y = np.cos(np.arange(3) * 2) plt.bar(x, y, width=[(x[j+1]-x[j]).days for j in range(len(x)-1)] + [30]) plt.show()
Output
Updated on: 03-Jun-2021
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