NumPy | true_divide method
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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.
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
.