numpy.random.uniform() in Python

• Difficulty Level : Basic
• Last Updated : 18 Aug, 2020

With the help of numpy.random.uniform() method, we can get the random samples from uniform distribution and returns the random samples as numpy array by using this method.

Uniform distribution

Syntax : numpy.random.uniform(low=0.0, high=1.0, size=None)

Return : Return the random samples as numpy array.

Example #1 :

In this example we can see that by using numpy.random.uniform() method, we are able to get the random samples from uniform distribution and return the random samples.

Python3

 `# import numpy``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` `# Using uniform() method``gfg ``=` `np.random.uniform(``-``5``, ``5``, ``5000``)`` ` `plt.hist(gfg, bins ``=` `50``, density ``=` `True``)``plt.show()`

Output :

Example #2 :

Python3

 `# import numpy``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` `# Using uniform() method``gfg ``=` `np.random.uniform(``2.1``, ``5.5``, ``10000``)`` ` `plt.hist(gfg, bins ``=` `100``, density ``=` `True``)``plt.show()`

Output :

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