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Edit
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  • References
  • Python
  • NumPy
  • Array objects
  • Masked arrays
  • Constants of the numpy.ma module

static MaskedArray.__new__()

static MaskedArray.__new__(data=None, mask=False, dtype=None, copy=False, subok=True, ndmin=0, fill_value=None, keep_mask=True, hard_mask=None, shrink=True, order=None, **options) [source]

Create a new masked array from scratch.

Notes

A masked array can also be created by taking a .view(MaskedArray).

Links:
  • https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ma.MaskedArray.__new__.html
doc_NumPy
doc_NumPy
2025-01-10 15:47:30
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static ndarray.__new__() static ndarray.__new__(S, ...) ? a new object with type S, a subtype of T
MaskedArray.recordmask MaskedArray.recordmask Return the mask of the records. A record is masked when all the fields are masked.
MaskedArray.repeat() MaskedArray.repeat(repeats, axis=None) [source] Repeat elements of an array. Refer to numpy.repeat for full documentation. See also numpy.repe
MaskedArray.__copy__() MaskedArray.__copy__([order]) Return a copy of the array. Parameters: order : {?C?, ?F?, ?A?}, optional If order is ?C? (False) then the result
MaskedArray.__truediv__() MaskedArray.__truediv__(other) [source] Divide other into self, and return a new masked array.


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