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How to plot cdf in Matplotlib in Python?
To plot cdf in matplotlib in Python, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Initialize a variable N for the number of sample data.
Create random data using numpy.
Compute the histogram of a set of data with data and bins=10.
Find the probability distribution function (pdf).
Using pdf (Step 5), calculate cdf.
Plot the cdf using plot() method with label "CDF".
Place a legend on the plot.
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True N = 500 data = np.random.randn(N) count, bins_count = np.histogram(data, bins=10) pdf = count / sum(count) cdf = np.cumsum(pdf) plt.plot(bins_count[1:], cdf, label="CDF") plt.legend() plt.show()
Output
Updated on: 03-Jun-2021
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