type t = [ `Mr_class | `Object ] Obj.tval of_pyobject : Py.Object.t -> tval to_pyobject : [> tag ] Obj.t -> Py.Object.tval create : unit -> tTranslate slice objects to concatenation along the first axis.
This is the masked array version of `lib.index_tricks.RClass`.
See Also -------- lib.index_tricks.RClass
Examples -------- >>> np.ma.mr_np.ma.array([1,2,3]), 0, 0, np.ma.array([4,5,6]) masked_array(data=1, 2, 3, ..., 4, 5, 6, mask=False, fill_value=999999)
val __getitem__ : key:Py.Object.t -> [> tag ] Obj.t -> Py.Object.tNone
val makemat : arr:Py.Object.t -> [> tag ] Obj.t -> Py.Object.tmatrix(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])
val to_string : t -> stringPrint the object to a human-readable representation.
val show : t -> stringPrint the object to a human-readable representation.
val pp : Stdlib.Format.formatter -> t -> unitPretty-print the object to a formatter.