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Use of np.where()[0]

Clear Cardinal answered on April 17, 2020 Popularity 9/10 Helpfulness 1/10

answer Use of np.where()[0]

related np.where

Use of np.where()[0]

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below = np.where(self.data < self.threshold)[0]
""" It takes  first element from the tuple of ndarrays returned by np.where() 
""" and assigns it to below

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Source: stackoverflow.com

Tags: python

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Contributed on Jan 20 2023

Clear Cardinal

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>>> a = np.arange(10)
>>> a
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np.where(a < 5, a, 10*a)
array([ 0,  1,  2,  3,  4, 50, 60, 70, 80, 90])

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Source: docs.scipy.org

Tags: python py

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Contributed on Apr 17 2020

Difficult Dunlin

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np.where

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  predictions = np.where(A2 > 0.5, 1, 0)
  
  np.where to classify the predictions. If the activation is greater than 0.5, the prediction is set to 1; 
  otherwise, it is set to 0.

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Source: Grepper

Tags: python py

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Contributed on Jun 03 2023

Niransha

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np.where

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np.where([[True, False], [True, True]],
...          [[1, 2], [3, 4]],
...          [[9, 8], [7, 6]])
array([[1, 8],
       [3, 4]])

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Source: numpy.org

Tags: python py

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Contributed on Sep 07 2022

Mohit Singh

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Use of np.where()[0]

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