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Numpy nditer

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Important Ibex answered on February 23, 2020 Popularity 8/10 Helpfulness 2/10

answer Numpy nditer

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Numpy nditer

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import numpy as np
a=np.array([[2,4,5],[3,6,7],[4,8,9]])
print("Original array is :")
print(a)
print("Modified array is:")
for x in np.nditer(a, flags = ['external_loop'],order='F'):
        print(x)

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Source: www.pythonpool.com

Tags: numpy python

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Contributed on Aug 08 2021

Important Ibex

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>>> def iter_add(x, y, out=None):
...    addop = np.add
...    it = np.nditer([x, y, out], [],
...                [['readonly'], ['readonly'], ['writeonly','allocate']])
...    with it:
...        while not it.finished:
...            addop(it[0], it[1], out=it[2])
...            it.iternext()
...        return it.operands[2]

Popularity 8/10 Helpfulness 1/10 Language python

Source: docs.scipy.org

Tags: python

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Contributed on Feb 23 2020

Enchanting Eel

0 Answers Avg Quality 2/10

Numpy nditer

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-1

import numpy as np
a=np.array([2,4,5])
print("Original array is :")
print(a)
print("Modified array is:")
for x in np.nditer(a):
       print(x)

Popularity 8/10 Helpfulness 1/10 Language python

Source: www.pythonpool.com

Tags: python numpy pyth

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Contributed on Aug 08 2021

Important Ibex

0 Answers Avg Quality 2/10

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