import numpy as np

np.sqrt(df1)

import numpy as np

​

arr = np.random.uniform(0, 1, 10000)

​

#Inverse Square Root

1 / np.sqrt(arr)

Return the non-negative square-root of an array, element-wise.

​

// Examples

>>> np.sqrt([1,4,9])

array([ 1.,  2.,  3.])

​

>>> np.sqrt([4, -1, -3+4J])

array([ 2.+0.j,  0.+1.j,  1.+2.j])

​

>>> np.sqrt([4, -1, np.inf])

array([ 2., nan, inf])

>>> import numpy

>>> numpy.sqrt(16)

4.0

'''numpy. sqrt(array[, out]) function is used to 

determine the positive square-root of 

an array, element-wise.'''