package scipy

  1. Overview
  2. Docs
package scipy
Legend:
Library
Module
Module type
Parameter
Class
Class type
val get_py : string -> Py.Object.t

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

module SparseFormatWarning : sig ... end
val asmatrix : ?dtype:Py.Object.t -> data:Py.Object.t -> unit -> Py.Object.t

None

val check_reshape_kwargs : Py.Object.t -> Py.Object.t

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.

val check_shape : ?current_shape:Py.Object.t -> args:Py.Object.t -> unit -> Py.Object.t

Imitate numpy.matrix handling of shape arguments

val get_sum_dtype : Py.Object.t -> Py.Object.t

Mimic numpy's casting for np.sum

val isdense : Py.Object.t -> Py.Object.t

None

val isintlike : Py.Object.t -> Py.Object.t

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

val isscalarlike : Py.Object.t -> Py.Object.t

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

val issparse : Py.Object.t -> Py.Object.t

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

val isspmatrix : Py.Object.t -> Py.Object.t

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

val validateaxis : Py.Object.t -> Py.Object.t

None