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Printing large NumPy arrays without truncation
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schedule Mar 9, 2022
Last updated Python●NumPy
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expand_more Suppose we have a large Numpy array like follows:
np.arange(5000)
array([ 0, 1, 2, ..., 4997, 4998, 4999])
As we can see, Numpy truncates large arrays when printing by default.
Using the set_printoptions method
In order to print the array in its entirety, we must configure Numpy like follows:
import sysnp.set_printoptions(threshold=sys.maxsize)
Now, when we print our large array again, we will see all its numbers:
np.arange(5000)
** You'll see all the numbers printed here **
Using the printoptions method
For those who are using NumPy 1.15 or above, you could also use the printoptions(~) method like follows:
with np.printoptions(threshold=np.inf): print(np.arange(5000))
** You'll see all the numbers printed here **
Published by Isshin Inada
Edited by 0 others
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