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Method argpartition
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NumPy | place method

schedule Aug 12, 2023
Last updated
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PythonNumPy
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NumPy's place(~) method sets the specified values given a boolean mask.

Parameters

1. arr | Numpy array

The input array. All arrays are treated as a flattened array.

2. mask | array-like

An array of booleans that indicate whether or not to set the value. The shape must be the same as that of a.

3. values | array-like

A 1D array that contains the values to set. If v is shorter than a, then v will be repeated to ensure the shape matches up.

Return value

None - the setting is done in-place.

Examples

Basic usage

a = np.array([5,6,7,8])
np.place(a, [True, False, False, True], 9)
a
array([9, 6, 7, 9])

Notice how only values that had a corresponding value of True in the mask were set.

2D arrays

Consider the following 2D array:

a = np.array([[5,6],[7,8]])
a
array([[5, 6],
       [7, 8]])

Setting a single value

a = np.array([[5,6],[7,8]])
np.place(a, [True, False, False, True], 9)
a
array([[9, 6],
       [7, 9]])

Setting multiple values

a = np.array([[5,6],[7,8]])
np.place(a, [True, False, False, True], [9,10])
a
array([[ 9, 6],
       [ 7, 10]])
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Published by Isshin Inada
Edited by 0 others
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