Private function for rank 1 arrays. Compute the median ignoring NaNs. See nanmedian for parameter usage
(arr1d, overwrite_input=False)
| 1056 | |
| 1057 | |
| 1058 | def _nanmedian1d(arr1d, overwrite_input=False): |
| 1059 | """ |
| 1060 | Private function for rank 1 arrays. Compute the median ignoring NaNs. |
| 1061 | See nanmedian for parameter usage |
| 1062 | """ |
| 1063 | arr1d_parsed, overwrite_input = _remove_nan_1d( |
| 1064 | arr1d, overwrite_input=overwrite_input, |
| 1065 | ) |
| 1066 | |
| 1067 | if arr1d_parsed.size == 0: |
| 1068 | # Ensure that a nan-esque scalar of the appropriate type (and unit) |
| 1069 | # is returned for `timedelta64` and `complexfloating` |
| 1070 | return arr1d[-1] |
| 1071 | |
| 1072 | return np.median(arr1d_parsed, overwrite_input=overwrite_input) |
| 1073 | |
| 1074 | |
| 1075 | def _nanmedian(a, axis=None, out=None, overwrite_input=False): |
no test coverage detected