Function nanstd

nanstd(
    x: ArrayLike,
    axis?: null | number | number[],
    opts?: { correction?: number } & { keepdims?: boolean },
): Array
Compute the standard deviation of an array along the specified axis, ignoring NaNs.

If correction is provided, the divisor in calculation is N - correction, where N represents the number of non-NaN elements. Slices where N - correction is not positive (including all-NaN slices) produce NaN.
Parameters
- x: ArrayLike
- axis: null | number | number[] = null
- Optionalopts: { correction?: number } & { keepdims?: boolean }
Returns Array
- Defined in library/numpy.ts:3411