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Setting a relative frequency in a Matplotlib histogram
To set a relative frequency in a matplotlib histogram, we can take the following steps −
Create a list of numbers for data and bins.
Compute the histogram of a set of data, using histogram() method.
Get the hist and edges from the histogram.
Find the frequency of the histogram.
Make a bar with bins (step 1) and freq data (step 4).
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True a = [-0.125, .15, 8.75, 72.5, -44.245, 88.45] bins = np.arange(-180, 181, 20) hist, edges = np.histogram(a, bins) freq = hist/float(hist.sum()) plt.bar(bins[:-1], freq, width=20, align="edge", ec="k", color='red') plt.show()
Output
Updated on: 08-May-2021
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