numpy.matrix¶
- class numpy.matrix¶
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
Examples
>>> a = np.matrix('1 2; 3 4') >>> print a [[1 2] [3 4]]
>>> np.matrix([[1, 2], [3, 4]]) matrix([[1, 2], [3, 4]])
Methods
all any argmax argmin argsort astype byteswap choose clip compress conj() Return the complex conjugate, element-wise. conjugate() Return the complex conjugate, element-wise. copy cumprod cumsum diagonal dot dump dumps fill flatten getA getA1 getH getI getT getfield item itemset max mean min newbyteorder nonzero prod ptp put ravel repeat reshape resize round searchsorted setasflat setfield setflags sort squeeze std sum swapaxes take tofile tolist tostring trace transpose var view
