def skew_result_or_nan(nfinite, minp, result):
"""Get result skew taking into account min periods."""
if nfinite < max(3, minp):
return numpy.nan
_sum, square_sum, cube_sum = result
return skew_formula(nfinite, _sum, square_sum, cube_sum)
def nanskew_impl(arr):
len_val = len(arr)
n = 0
_sum = 0.
square_sum = 0.
cube_sum = 0.
for idx in numba.prange(len_val):
if not numpy.isnan(arr[idx]):
n += 1
_sum += arr[idx]
square_sum += arr[idx]**2
cube_sum += arr[idx]**3
if n == 0:
return numpy.nan
return skew_formula(n, _sum, square_sum, cube_sum)