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# NumPy | modf method

schedule Aug 12, 2023
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Numpy's `modf(~)` method returns the fractional part and the integral part for each value in the input array.

Just to clarify:

``` For the number 3.5Fractional part: 0.5Integral part: 3 ```

# Parameters

1. `x1` | `array_like`

The input array.

2. `out` | `Numpy array` | `optional`

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

3. `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 behaviour is slightly different - the original value will be kept intact.

# Return value

A tuple of Numpy arrays, with the first item being the fractional part and second being the integral part.

# Examples

``` x = [1.5, 2.8, 4.1, 5]fractional_part, integral_part = np.modf(x)print(fractional_part) # [0.5, 0.8, 0.1, 0.]print(integral_part) # [ 1., 2., 4., 5.] ```
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