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# numpy.ma.array

`numpy.ma.``array`(data, dtype=None, copy=False, order=False, mask=False, fill_value=None, keep_mask=True, hard_mask=False, shrink=True, subok=True, ndmin=0)

  An array class with possibly masked values.

  Masked values of True exclude the corresponding element from any computation.

  Construction:

      x = MaskedArray(data, mask=nomask, dtype=None, copy=True,
                      fill_value=None, keep_mask=True, hard_mask=False,
                      shrink=True)

  Parameters : | data : array_like Input data. mask : sequence, optional Mask. Must be convertible to an array of booleans with the same shape as data. True indicates a masked (i.e. invalid) data. dtype : dtype, optional Data type of the output. If dtype is None, the type of the data argument (`data.dtype`) is used. If dtype is not None and different from `data.dtype`, a copy is performed. copy : bool, optional Whether to copy the input data (True), or to use a reference instead. Default is False. subok : bool, optional Whether to return a subclass of MaskedArray if possible (True) or a plain MaskedArray. Default is True. ndmin : int, optional Minimum number of dimensions. Default is 0. fill_value : scalar, optional Value used to fill in the masked values when necessary. If None, a default based on the data-type is used. keep_mask : bool, optional Whether to combine mask with the mask of the input data, if any (True), or to use only mask for the output (False). Default is True. hard_mask : bool, optional Whether to use a hard mask or not. With a hard mask, masked values cannot be unmasked. Default is False. shrink : bool, optional Whether to force compression of an empty mask. Default is True.

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