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Method view

numpy/ma/mrecords.py:362–400  ·  view source on GitHub ↗

Returns a view of the mrecarray.

(self, dtype=None, type=None)

Source from the content-addressed store, hash-verified

360 return str("\n".join(reprstr))
361
362 def view(self, dtype=None, type=None):
363 """
364 Returns a view of the mrecarray.
365
366 """
367 # OK, basic copy-paste from MaskedArray.view.
368 if dtype is None:
369 if type is None:
370 output = ndarray.view(self)
371 else:
372 output = ndarray.view(self, type)
373 # Here again.
374 elif type is None:
375 try:
376 if issubclass(dtype, ndarray):
377 output = ndarray.view(self, dtype)
378 else:
379 output = ndarray.view(self, dtype)
380 # OK, there's the change
381 except TypeError:
382 dtype = np.dtype(dtype)
383 # we need to revert to MaskedArray, but keeping the possibility
384 # of subclasses (eg, TimeSeriesRecords), so we'll force a type
385 # set to the first parent
386 if dtype.fields is None:
387 basetype = self.__class__.__bases__[0]
388 output = self.__array__().view(dtype, basetype)
389 output._update_from(self)
390 else:
391 output = ndarray.view(self, dtype)
392 output._fill_value = None
393 else:
394 output = ndarray.view(self, dtype, type)
395 # Update the mask, just like in MaskedArray.view
396 if (getattr(output, '_mask', nomask) is not nomask):
397 mdtype = ma.make_mask_descr(output.dtype)
398 output._mask = self._mask.view(mdtype, ndarray)
399 output._mask.shape = output.shape
400 return output
401
402 def harden_mask(self):
403 """

Callers 9

__array_finalize__Method · 0.45
_dataMethod · 0.45
__getattribute__Method · 0.45
__getitem__Method · 0.45
copyMethod · 0.45
_mrreconstructFunction · 0.45
fromarraysFunction · 0.45
fromrecordsFunction · 0.45
addfieldFunction · 0.45

Calls 3

_update_fromMethod · 0.80
dtypeMethod · 0.45
__array__Method · 0.45

Tested by

no test coverage detected