numpy.bmat¶
-
numpy.
bmat
(obj, ldict=None, gdict=None)[source]¶ Build a matrix object from a string, nested sequence, or array.
Parameters: obj : str or array_like
Input data. If a string, variables in the current scope may be referenced by name.
ldict : dict, optional
A dictionary that replaces local operands in current frame. Ignored if obj is not a string or gdict is None.
gdict : dict, optional
A dictionary that replaces global operands in current frame. Ignored if obj is not a string.
Returns: out : matrix
Returns a matrix object, which is a specialized 2-D array.
See also
block
- A generalization of this function for N-d arrays, that returns normal ndarrays.
Examples
>>> A = np.mat('1 1; 1 1') >>> B = np.mat('2 2; 2 2') >>> C = np.mat('3 4; 5 6') >>> D = np.mat('7 8; 9 0')
All the following expressions construct the same block matrix:
>>> np.bmat([[A, B], [C, D]]) matrix([[1, 1, 2, 2], [1, 1, 2, 2], [3, 4, 7, 8], [5, 6, 9, 0]]) >>> np.bmat(np.r_[np.c_[A, B], np.c_[C, D]]) matrix([[1, 1, 2, 2], [1, 1, 2, 2], [3, 4, 7, 8], [5, 6, 9, 0]]) >>> np.bmat('A,B; C,D') matrix([[1, 1, 2, 2], [1, 1, 2, 2], [3, 4, 7, 8], [5, 6, 9, 0]])