numpy.random.permutation() in Python
Last Updated :
15 Jul, 2020
With the help of numpy.random.permutation() method, we can get the random samples of sequence of permutation and return sequence by using this method.
Syntax : numpy.random.permutation(x)
Return : Return the random sequence of permuted values.
Example #1 :
In this example we can see that by using numpy.random.permutation() method, we are able to get the sequence of permutation and it will return the sequence by using this method.
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.permutation( 200 )
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
Example #2 :
Python3
import numpy as np
import matplotlib.pyplot as plt
arr = np.arange( 12 ).reshape(( 4 , 3 ))
gfg = np.random.permutation(arr)
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
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