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Gifted Guanaco answered on May 22, 2020 Popularity 8/10 Helpfulness 1/10

answer np.sort

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np.sort

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a = np.array([[1,4],[3,1]])
>>> np.sort(a)                # sort along the last axis
array([[1, 4],
       [1, 3]])
>>> np.sort(a, axis=None)     # sort the flattened array
array([1, 1, 3, 4])
>>> np.sort(a, axis=0)        # sort along the first axis
array([[1, 1],
       [3, 4]])

Popularity 8/10 Helpfulness 1/10 Language python

Source: numpy.org

Tags: python

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Contributed on Apr 15 2023

Gifted Guanaco

0 Answers Avg Quality 2/10

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numpy sort

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>>> a = np.array([[1,4],[3,1]])
>>> np.sort(a)                # sort along the last axis
array([[1, 4],
       [1, 3]])
>>> np.sort(a, axis=None)     # sort the flattened array
array([1, 1, 3, 4])
>>> np.sort(a, axis=0)        # sort along the first axis
array([[1, 1],
       [3, 4]])

Popularity 10/10 Helpfulness 4/10 Language python

Source: numpy.org

Tags: numpy nump

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Contributed on May 22 2020

Creepy Cormorant

0 Answers Avg Quality 2/10

numpy sort

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import numpy as np

arr = np.array([3, 2, 0, 1])
print(np.sort(arr))
# output [0 1 2 3]

arr = np.array(['banana', 'cherry', 'apple'])
print(np.sort(arr))
# output ['apple' 'banana' 'cherry']

arr = np.array([True, False, True])
print(np.sort(arr))
# output [False  True  True]

arr = np.array([[3, 2, 4], [5, 0, 1]])
print(np.sort(arr))
# output
# [[2 3 4]
#  [0 1 5]]

Popularity 10/10 Helpfulness 4/10 Language python

Source: codefreelance.net

Tags: numpy nump

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Contributed on Sep 04 2022

Jerome Scott

0 Answers Avg Quality 2/10

numpy.sort

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-1

a = np.array([[1,4], [3,1]])
>>> a.sort(axis=1)
>>> a
array([[1, 4],
       [1, 3]])
>>> a.sort(axis=0)
>>> a
array([[1, 3],
       [1, 4]])

Popularity 9/10 Helpfulness 1/10 Language python

Source: numpy.org

Tags: python py

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Contributed on Jul 04 2022

Shohruh Tuxtashev

0 Answers Avg Quality 2/10

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