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numpy.matrix Method in Python
The numpy.matrix method is used to interpret a given input as a matrix. It returns a matrix from an array-like object. Its syntax is as follows −
numpy.matrix(data, dtype=None, copy=bool)
where,
data - It is the input data.
dtype - It represents the data type of the output matrix.
copy - If the input data is already an ndarray, then this flag copy determines whether the data is to be copied (default behavior), or whether a view is to be constructed.
Example 1
Let us consider the following example −
# import numpy library import numpy as np # matrix function y = np.matrix([[4, 5], [7, 8]]) print("Matrix Elements:
", y)
Output
It will generate the following output −
Matrix Elements: [[4 5] [7 8]]
Example 2
Let us take another example −
# import numpy library import numpy as np # matrix function b = np.matrix([[78, 79, 80.23], [2, 4.5, 6]], dtype=int) print("Matrix Elements:
", b)
Output
It will generate the following output −
Matrix Elements: [[78 79 80] [ 2 4 6]]
Here, observe that we have dtype=int, hence it converts the float values to integer in the output matrix.
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