python get index where true - PrivacyWall

https://stackoverflow.com/questions/21448225/getting-indices-of-t...

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python - Getting indices of True values in a boolean list - Stack Overflow

TL; DR: use np.where as it is the fastest option. Your options are np.where, itertools.compress, and list comprehension.. See the detailed comparison below, where it can be seen np.where outperforms both itertools.compress and also list comprehension. >>> from itertools import compress >>> import numpy as np >>> t = [False, False, False, False, True, True, False, True, False, False, False ...

https://numpy.org/doc/stable/reference/generated/numpy.where.html

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numpy.where — NumPy v2.2 Manual

Parameters: condition array_like, bool. Where True, yield x, otherwise yield y.. x, y array_like. Values from which to choose. x, y and condition need to be broadcastable to some shape.. Returns: out ndarray. An array with elements from x where condition is True, and elements from y elsewhere.

https://www.geeksforgeeks.org/python-get-indices-of-true-values-i...

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Python | Get indices of True values in a binary list

Method #5: Using list.index() You can use the list.index() method to find the index of the first occurrence of a True value in the list. Then, you can use a loop to find the indices of all subsequent True values by calling list.index() again on the sublist starting from the next index. Here is an example of how to use this method: Python3

https://en.moonbooks.org/Articles/How-to-find-the-indexes-where-v...

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How to find indices where values are true in a boolean ... - Moonbooks

Create a boolean matrix with numpy. Let's first create a random boolean matrix with False and True values. import numpy as np A = np.full((5, 5), False) n = 6 index = np.random.choice(A.size, n, replace=False) A.ravel()[index] = True print(A). returns for example [[False False False False False] [False True False False False] [False True True False False] [ True False False False False] [False ...

https://www.adventuresinmachinelearning.com/mastering-boolean-ind...

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Mastering boolean indexing: getting indices for true conditions in ...

Learn how to use boolean indexing to get the indices for true conditions in NumPy arrays and matrices. See examples of one-dimensional and two-dimensional data, and how to apply conditions to specific rows or columns.

https://www.statology.org/numpy-get-indices-where-true/

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NumPy: How to Get Indices Where Value is True - Statology

You can use the following methods to get the indices where some condition is true in NumPy: Method 1: Get Indices Where Condition is True in NumPy Array. #get indices of values greater than 10 np. asarray (my_array> 10). nonzero () Method 2: Get Indices Where Condition is True in NumPy Matrix

https://www.codewithc.com/advanced-techniques-using-numpy-to-get-...

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Advanced Techniques: Using NumPy to Get Indices Where True - Code with C

The index [0] following np.where(sample_array == True) is used to select the first element of this tuple, which is the array of indices we’re interested in. Finally, the resulting indices are printed out. These indices point to the positions in the original sample_array where the value is True.

https://codereview.stackexchange.com/questions/239213/find-start-...

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python - Find Start/Stop Indices Where Array Is True - Code Review ...

Enumerate. for i in range(len(y)): is an antipattern. If you want indices (i) and the values at those indices (y[i]) the Pythonic way is using enumerate:for i, yi in enumerate(y): Start indices. Let's take a moment and split this task into two parts: the start indices and the stop indices.

https://sqlpey.com/python/top-3-methods-to-locate-indices-of-true...

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Top 3 Methods to Locate Indices of True Values in NumPy

FAQs on Top 3 Methods to Locate Indices of True Values in NumPy Arrays Q: How do I use boolean indexing in NumPy? A: Boolean indexing is achieved by creating a boolean array where each condition is evaluated, and then using that array to index into the original array, returning the values that satisfy the condition.

https://www.delftstack.com/howto/python-pandas/how-to-get-index-o...

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How to Get Index of All Rows Whose Particular Column Satisfies Given ...

Here, df['Sales']>=300 gives series of boolean values whose elements are True if their Sales column has a value greater than or equal to 300. We can retrieve the index of rows whose Sales value is greater than or equal to 300 by using df[df['Sales']>=300].index.. Finally, the tolist() method converts all the indices to a list.. np.where() Method to Get Index of All Rows Whose Particular Column ...

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