Create random numpy matrix of same size as another.
17,027
np.random.randn
takes the shape of the array as its input which you can get directly from the shape
property of the first array. You have to unpack a.shape
with the *
operator in order to get the proper input for np.random.randn
.
a = np.zeros([2, 3])
print(a.shape)
# outputs: (2, 3)
b = np.random.randn(*a.shape)
print(b.shape)
# outputs: (2, 3)
Author by
TheGrapeBeyond
Gardening, signal processing, and the performing arts!
Updated on June 21, 2022Comments
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TheGrapeBeyond almost 2 years
This question here was useful, but mine is slightly different.
I am trying to do something simple here, I have a numpy matrix A, and I simply want to create another numpy matrix B, of the same shape as A, but I want B to be created from
numpy.random.randn()
How can this be done? Thanks. -
TheGrapeBeyond almost 8 yearsThanks! But what's with the '*'?
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Chris Mueller almost 8 years@TheGrapeBeyond It unpacks the arguments. Have a look at this question.
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TheGrapeBeyond almost 8 yearsVery interesting. Thanks, TIL.