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doc_NumPy
doc_NumPy


MaskedArray.__float__()

MaskedArray.__float__() [source] Convert to float.

MaskedArray.__eq__()

MaskedArray.__eq__(other) [source] Check whether other equals self elementwise.

MaskedArray.__div__()

MaskedArray.__div__(other) [source] Divide other into self, and return a new masked array.

MaskedArray.__divmod__()

MaskedArray.__divmod__(y) <==> divmod(x, y)

MaskedArray.__delitem__

MaskedArray.__delitem__ x.__delitem__(y) <==> del x[y]

MaskedArray.__deepcopy__()

MaskedArray.__deepcopy__(memo=None) [source]

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 is contiguous (default). If order is ?Fortran? (True) then the result has fortran order. If order is ?Any? (None) then the result has fortran order only if the array already is in fortran order.

MaskedArray.__contains__

MaskedArray.__contains__ x.__contains__(y) <==> y in x

MaskedArray.__array__()

MaskedArray.__array__(|dtype) ? reference if type unchanged, copy otherwise. Returns either a new reference to self if dtype is not given or a new array of provided data type if dtype is different from the current dtype of the array.

MaskedArray.__array_wrap__()

MaskedArray.__array_wrap__(obj, context=None) [source] Special hook for ufuncs. Wraps the numpy array and sets the mask according to context.

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