| from numpy._core.fromnumeric import ( | |
| amin, | |
| amax, | |
| argmin, | |
| argmax, | |
| sum, | |
| prod, | |
| cumsum, | |
| cumprod, | |
| mean, | |
| var, | |
| std | |
| ) | |
| from numpy.lib._function_base_impl import ( | |
| median, | |
| percentile, | |
| quantile, | |
| ) | |
| __all__ = [ | |
| "nansum", | |
| "nanmax", | |
| "nanmin", | |
| "nanargmax", | |
| "nanargmin", | |
| "nanmean", | |
| "nanmedian", | |
| "nanpercentile", | |
| "nanvar", | |
| "nanstd", | |
| "nanprod", | |
| "nancumsum", | |
| "nancumprod", | |
| "nanquantile", | |
| ] | |
| # NOTE: In reality these functions are not aliases but distinct functions | |
| # with identical signatures. | |
| nanmin = amin | |
| nanmax = amax | |
| nanargmin = argmin | |
| nanargmax = argmax | |
| nansum = sum | |
| nanprod = prod | |
| nancumsum = cumsum | |
| nancumprod = cumprod | |
| nanmean = mean | |
| nanvar = var | |
| nanstd = std | |
| nanmedian = median | |
| nanpercentile = percentile | |
| nanquantile = quantile | |