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doc_NumPy
doc_NumPy


ndarray.__getslice__

ndarray.__getslice__ x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported.

ndarray.__getitem__

ndarray.__getitem__ x.__getitem__(y) <==> x[y]

ndarray.__floordiv__

ndarray.__floordiv__ x.__floordiv__(y) <==> x//y

ndarray.__float__()

ndarray.__float__() <==> float(x)

ndarray.__eq__

ndarray.__eq__ x.__eq__(y) <==> x==y

ndarray.__div__

ndarray.__div__ x.__div__(y) <==> x/y

ndarray.__divmod__()

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

ndarray.__deepcopy__()

ndarray.__deepcopy__() ? Deep copy of array. Used if copy.deepcopy is called on an array.

ndarray.__copy__()

ndarray.__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.

ndarray.__contains__

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

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