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NumPy | true_divide method

schedule Aug 12, 2023
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Numpy's true_divide(~) method performs element-wise true division given two arrays. True division means that 5/2=2.5 as opposed to floor division, which is 5//2=2.

The methods true_divide(~) and divide(~) are the equivalent.

WARNING

Opt to use the / operator instead

If you don't need the 3rd and 4th parameters of this method, simply divide two arrays using the / operator - you'll enjoy a performance boost.

Parameters

1. x1 | array_like

An array acting as the dividend.

2. x2 | array_like

An array acting as the divisor.

3. out | Numpy array | optional

Instead of creating a new array, you can place the computed result into the array specified by out.

4. where | array of boolean | optional

Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behavior is slightly different - the original value will be kept intact.

Return value

A scalar is returned if x1 and x2 are scalars, otherwise a Numpy array is returned.

Examples

Dividing by a common divisor

x = [2,6,9]
np.true_divide(x, 2)
array([1. , 3. , 4.5])

Dividing by multiple divisors

x = [2,6,9]
np.true_divide(x, [2,3,4])
array([1. , 2. , 2.25])

Here, we are doing 2/2, 6/3 and 9/4.

robocat
Published by Isshin Inada
Edited by 0 others
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