Method view

dask/array/core.py:2881–2922

Get a view of the array as a new data type Parameters ---------- dtype: The dtype by which to view the array. The default, None, results in the view having the same data-type as the original array. order: string 'C' or

(self, dtype=None, order="C")

        return clip(self, min, max)

    def view(self, dtype=None, order="C"):
        """Get a view of the array as a new data type

        Parameters
        ----------
        dtype:
            The dtype by which to view the array.
            The default, None, results in the view having the same data-type
            as the original array.
        order: string
            'C' or 'F' (Fortran) ordering

        This reinterprets the bytes of the array under a new dtype.  If that
        dtype does not have the same size as the original array then the shape
        will change.

        Beware that both numpy and dask.array can behave oddly when taking
        shape-changing views of arrays under Fortran ordering.  Under some
        versions of NumPy this function will fail when taking shape-changing
        views of Fortran ordered arrays if the first dimension has chunks of
        size one.
        """
        if dtype is None:
            dtype = self.dtype
        else:
            dtype = np.dtype(dtype)
        mult = self.dtype.itemsize / dtype.itemsize

        if order == "C":
            chunks = self.chunks[:-1] + (
                tuple(ensure_int(c * mult) for c in self.chunks[-1]),
            )
        elif order == "F":
            chunks = (
                tuple(ensure_int(c * mult) for c in self.chunks[0]),
            ) + self.chunks[1:]
        else:
            raise ValueError("Order must be one of 'C' or 'F'")

        return self.map_blocks(
            chunk.view, dtype, order=order, dtype=dtype, chunks=chunks
        )

    def swapaxes(self, axis1, axis2):
        """Return a view of the array with ``axis1`` and ``axis2`` interchanged.