package scipy

Get an attribute of this module as a Py.Object.t. This is useful to pass a Python function to another function.

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Broadcast an array to a new shape.

Parameters ---------- array : array_like The array to broadcast. shape : tuple The shape of the desired array. subok : bool, optional If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array (default).

Returns ------- broadcast : array A readonly view on the original array with the given shape. It is typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location.

Raises ------ ValueError If the array is not compatible with the new shape according to NumPy's broadcasting rules.

Notes ----- .. versionadded:: 1.10.0

Examples -------- >>> x = np.array(1, 2, 3) >>> np.broadcast_to(x, (3, 3)) array([1, 2, 3], [1, 2, 3], [1, 2, 3])

Unpack keyword arguments for reshape function.

This is useful because keyword arguments after star arguments are not allowed in Python 2, but star keyword arguments are. This function unpacks 'order' and 'copy' from the star keyword arguments (with defaults) and throws an error for any remaining.

Imitate numpy.matrix handling of shape arguments

Mimic numpy's casting for np.sum

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Is x appropriate as an index into a sparse matrix? Returns True if it can be cast safely to a machine int.

Is x either a scalar, an array scalar, or a 0-dim array?

Is x of a sparse matrix type?

Parameters ---------- x object to check for being a sparse matrix

Returns ------- bool True if x is a sparse matrix, False otherwise

Notes ----- issparse and isspmatrix are aliases for the same function.

Examples -------- >>> from scipy.sparse import csr_matrix, isspmatrix >>> isspmatrix(csr_matrix([5])) True

>>> from scipy.sparse import isspmatrix >>> isspmatrix(5) False

Is x of a sparse matrix type?

Parameters ---------- x object to check for being a sparse matrix

Returns ------- bool True if x is a sparse matrix, False otherwise

Notes ----- issparse and isspmatrix are aliases for the same function.

Examples -------- >>> from scipy.sparse import csr_matrix, isspmatrix >>> isspmatrix(csr_matrix([5])) True

>>> from scipy.sparse import isspmatrix >>> isspmatrix(5) False

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