Skip to content
Related Articles

Related Articles

numpy.random.standard_cauchy() in 1Python
  • Last Updated : 18 Aug, 2020

With the help of numpy.random.standard_cauchy() method, we can see get the random samples from a standard cauchy distribution and return the random samples.

Standard cauchy distribution

Syntax : numpy.random.standard_cauchy(size=None)

Return : Return the random samples as numpy array.

Example #1 :

In this example we can see that by using numpy.random.standard_cauchy() method, we are able to get the random samples of standard cauchy distribution and generate the random samples from it.



Python3

filter_none

edit
close

play_arrow

link
brightness_4
code

# import numpy
import numpy as np
import matplotlib.pyplot as plt
  
# Using standard_cauchy() method
gfg = np.random.standard_cauchy(100000)
  
gfg = gfg[(gfg>-25) & (gfg<25)]
plt.hist(gfg, bins = 100, density = True)
plt.show()

chevron_right


Output :

Example #2 :

Python3

filter_none

edit
close

play_arrow

link
brightness_4
code

# import numpy
import numpy as np
import matplotlib.pyplot as plt
  
# Using standard_cauchy() method
gfg = np.random.standard_cauchy(100000)
gfg1 = np.random.power([gfg>0], 100000)
  
plt.hist(gfg1, bins = 100, density = True)
plt.show()

chevron_right


Output :

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :