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• numpy.ma.MaskType.squeeze

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• numpy.ma.MaskType.squeeze (Python method, in numpy.ma.MaskType.squeeze)
• NumPy 1.14.0 Release Notes

  ...zeros as false, and anything else as true. Checks for V0 can still be done with arr.dtype.itemsize == 0. MaskedArray.squeeze never returns np.ma.masked np.squeeze is documented as returning a view, but the masked variant would sometimes...

• NumPy 1.15.0 Release Notes

  ...None result from flatnotmasked_contiguous and replace it with []. Those callers will continue to work as before. np.squeeze restores old behavior of objects that cannot handle an axis argument Prior to version 1.7.0, numpy.squeeze did n...

• numpy.ma.expand_dims

  ...is behavior is deprecated. Returns: resultndarrayView of a with the number of dimensions increased. See also squeezeThe inverse operation, removing singleton dimensions reshapeInsert, remove, and combine dimensions, and resize e...

• numpy.ma.is_mask

  ...turn True if m is a valid, standard mask. This function does not check the contents of the input, only that the type is MaskType. In particular, this function returns False if the mask has a flexible dtype. Parameters: marray_likeArray to...

• numpy.ma.make_mask

  ...all its values are False. dtypedtype, optionalData-type of the output mask. By default, the output mask has a dtype of MaskType (bool). If the dtype is flexible, each field has a boolean dtype. This is ignored when m is nomask, in which ca...

• numpy.ma.make_mask_none

  ...type. Parameters: newshapetupleA tuple indicating the shape of the mask. dtype{None, dtype}, optionalIf None, use a MaskType instance. Otherwise, use a new datatype with the same fields as dtype, converted to boolean types. Returns:...

• numpy.ma.masked_array.squeeze
• numpy.ma.MaskedArray.squeeze
• numpy.ma.MaskType
• numpy.ma.MaskType.all
• numpy.ma.MaskType.any
• numpy.ma.MaskType.argmax
• numpy.ma.MaskType.argmin
• numpy.ma.MaskType.argsort
• numpy.ma.MaskType.astype
• numpy.ma.MaskType.base
• numpy.ma.MaskType.byteswap
• numpy.ma.MaskType.choose
• numpy.ma.MaskType.clip
• numpy.ma.MaskType.compress
• numpy.ma.MaskType.conj
• numpy.ma.MaskType.conjugate
• numpy.ma.MaskType.copy
• numpy.ma.MaskType.cumprod