I have this line od code :
tirage2=np.random.randint(0,2,size=(10,5))
So I was thinking using reshape is possible like in this line :
tirage4=np.arange(50).reshape(10,5)
But this throws an error :
tirage3=np.random.randint(0,2).reshape(5,10)
AttributeError: 'int' object has no attribute 'reshape'
When you call np.random.randint(a,b)
, it returns an int
object between a
and b
. If you want a matrix with values in that range, you should use np.random.randint(a, b, size=(rows,cols))
. Then you'll be able to call reshape
on the resulting np.ndarray
.
The reason you can call reshape
on the return type of np.arange
is because np.arange
returns an np.ndarray
, which can be reshaped.
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