Why are outputs in the two cases different. I am new to this library
Case 1
import numpy as np
np.random.seed(2)
array = np.random.random((3,1))
print('Printing array : \n', array)
print('printing array - 1 : \n',array-1)
Output :
Printing array :
[[0.4359949 ]
[0.02592623]
[0.54966248]]
printing array - 1 :
[[-0.5640051 ]
[-0.97407377]
[-0.45033752]]
This is ok as 1 is subtracted from each element
Case 2
print('Printing array : \n', np.random.random ((3,1))-1)
Output:
Printing array :
[[-0.56467761]
[-0.5796322 ]
[-0.66966518]]
Whay are the two outputs different? np.random.random ((3,1)) should be same in both cases ( same seed) and so subtracting 1 should produce the same output. what am I messing up?
I ran the code as was expecting the same output in both cases
The reason why you got different arrays has been explained elaborately by @Jon Skeet.
One workaround is to customize a function by packing the random seed together with the random number generator function, e.g.,
def runif(shape, seed = 2):
np.random.seed(seed)
return np.random.random(shape)
for iter in range(2):
print(f'Print array{iter}: \n {runif((3,1))-iter} \n')
and you will see
Print array0:
[[0.4359949 ]
[0.02592623]
[0.54966248]]
Print array1:
[[-0.5640051 ]
[-0.97407377]
[-0.45033752]]