package np

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package np
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Module Extras.MAxisConcatenatorSource

Sourcetype tag = [
  1. | `MAxisConcatenator
]
Sourcetype t = [ `MAxisConcatenator | `Object ] Obj.t
Sourceval of_pyobject : Py.Object.t -> t
Sourceval to_pyobject : [> tag ] Obj.t -> Py.Object.t
Sourceval create : ?axis:Py.Object.t -> ?matrix:Py.Object.t -> ?ndmin:Py.Object.t -> ?trans1d:Py.Object.t -> unit -> t

Translate slice objects to concatenation along an axis.

For documentation on usage, see `mr_class`.

See Also -------- mr_class

Sourceval __getitem__ : key:Py.Object.t -> [> tag ] Obj.t -> Py.Object.t

None

Sourceval makemat : arr:Py.Object.t -> [> tag ] Obj.t -> Py.Object.t

matrix(data, dtype=None, copy=True)

.. note:: It is no longer recommended to use this class, even for linear algebra. Instead use regular arrays. The class may be removed in the future.

Returns a matrix from an array-like object, or from a string of data. A matrix is a specialized 2-D array that retains its 2-D nature through operations. It has certain special operators, such as ``*`` (matrix multiplication) and ``**`` (matrix power).

Parameters ---------- data : array_like or string If `data` is a string, it is interpreted as a matrix with commas or spaces separating columns, and semicolons separating rows. dtype : data-type Data-type of the output matrix. copy : bool If `data` is already an `ndarray`, then this flag determines whether the data is copied (the default), or whether a view is constructed.

See Also -------- array

Examples -------- >>> a = np.matrix('1 2; 3 4') >>> a matrix([1, 2], [3, 4])

>>> np.matrix([1, 2], [3, 4]) matrix([1, 2], [3, 4])

Sourceval to_string : t -> string

Print the object to a human-readable representation.

Sourceval show : t -> string

Print the object to a human-readable representation.

Sourceval pp : Format.formatter -> t -> unit

Pretty-print the object to a formatter.