How to generate distribution plot the easiest way in Python?

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Creating a normal distribution plot is a common task in statistics and data analysis. Let’s see how to generate distribution plot the easiest way in Python.
Normal Distribution python

Distribution plot implementation

To generate a normal distribution plot simply, we will import three essential Python libraries:

  • numpy
  • matplotlib
  • scipy
    • import numpy as np
from matplotlib import pyplot as plt
from scipy.stats import norm

normal_distribution_plot = np.linspace(-4, 4, 50)
plt.plot(normal_distribution_plot, norm.pdf(normal_distribution_plot, 0, 1))

plt.title("Normal Distribution by Pythoneo.com")
plt.show()

    Numpy is used to generate an evenly spaced range of values. Matplotlib is utilized for plotting these values. Scipy’s norm.pdf function lets us generate the normal distribution curve.

    See also  How to generate random samples from a normal distribution?

    That’s how thanks to just 3 functions we create normal distribution plot in Python.