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scaling(x)

scaling a vector to a range between 0 and 1

Example 
>>> scaling([1,2,3,4])
array([0.        , 0.33333333, 0.66666667, 1.        ])

Parameters:

Name Type Description Default
x List[float]

list of data values (float)

 required

Returns:

Type Description
NDArray[float64]

An numpy array of the scaled values
Source code in src/ridgeplot/stats.py 
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def scaling(x: List[float]) -> npt.NDArray[np.float64]:
    """
    scaling a vector to a range between 0 and 1

    Example:
        ```
        >>> scaling([1,2,3,4])
        array([0.        , 0.33333333, 0.66666667, 1.        ])
        ```

    Args:
        x: list of data values (float)

    Returns:
        An numpy array of the scaled values
    """
    np_x = np.array(x, dtype="float")

    if len(np.unique(np_x)) == 1:
        raise ValueError("The input list should not be homogenous")

    np_x = (np_x - np_x.min()) / (np_x.max() - np_x.min())
    return np_x