学习的过程中,遇到了asmatrix的用法,看了一下官方文档,明白了。
numpy.asmatrix
-
numpy.
asmatrix
(data, dtype=None)[source] -
Interpret the input as a matrix.
Unlike
matrix
,asmatrix
does not make a copy if the input is already a matrix or an ndarray. Equivalent tomatrix(data, copy=False)
.Parameters: data : array_like
Input data.
dtype : data-type
Data-type of the output matrix.
Returns: mat : matrix
data interpreted as a matrix.
Examples
>>> x = np.array([[1, 2], [3, 4]])
>>> m = np.asmatrix(x)
>>> x[0,0] = 5
>>> m
matrix([[5, 2],
[3, 4]])