Winsorize Values

Winsorize a numeric vector: compute its lower and upper quantiles (defaults $0.050.05$ and $0.950.95$) and clip every value to that range. Extreme values are pulled in to the cut-offs instead of being removed.

Implement solve(x, lower=0.05, upper=0.95).

Returns. Return a NumPy array of the same length. Quantiles use NumPy's default linear interpolation.

Examples

Example 1

Input:

solve([1.0, 2.0, 3.0, 4.0, 100.0], 0.2, 0.8)

Output:

[1.8, 2.0, 3.0, 4.0, 23.2]

Example 2

Input:

solve([5.0, 5.0, 5.0])

Output:

[5.0, 5.0, 5.0]