Returns all the fields sharing the same fieldname base. The fieldname base is either `_data` or `_mask`.
(self, indx)
| 281 | return obj |
| 282 | |
| 283 | def __getitem__(self, indx): |
| 284 | """ |
| 285 | Returns all the fields sharing the same fieldname base. |
| 286 | |
| 287 | The fieldname base is either `_data` or `_mask`. |
| 288 | |
| 289 | """ |
| 290 | _localdict = self.__dict__ |
| 291 | _mask = np.ndarray.__getattribute__(self, '_mask') |
| 292 | _data = np.ndarray.view(self, _localdict['_baseclass']) |
| 293 | # We want a field |
| 294 | if isinstance(indx, str): |
| 295 | # Make sure _sharedmask is True to propagate back to _fieldmask |
| 296 | # Don't use _set_mask, there are some copies being made that |
| 297 | # break propagation Don't force the mask to nomask, that wreaks |
| 298 | # easy masking |
| 299 | obj = _data[indx].view(ma.MaskedArray) |
| 300 | obj._mask = _mask[indx] |
| 301 | obj._sharedmask = True |
| 302 | fval = _localdict['_fill_value'] |
| 303 | if fval is not None: |
| 304 | obj._fill_value = fval[indx] |
| 305 | # Force to masked if the mask is True |
| 306 | if not obj.ndim and obj._mask: |
| 307 | return ma.masked |
| 308 | return obj |
| 309 | # We want some elements. |
| 310 | # First, the data. |
| 311 | obj = np.asarray(_data[indx]).view(mrecarray) |
| 312 | obj._mask = np.asarray(_mask[indx]).view(np.recarray) |
| 313 | return obj |
| 314 | |
| 315 | def __setitem__(self, indx, value): |
| 316 | """ |
nothing calls this directly
no test coverage detected