As rafaelc suggested, you can use np.sqrt on a specific column.
a = np.array([[1.,2.,3.],[1.,2.,3.]])
a[:,1] = np.sqrt(a[:,1])
a
has two rows and three columns. a[:,1]
is the second column.
1
solved Using Numpy to update one column by the square root of those column values [closed]