numpy.matrix() in Python
The Python numpy.matrix() function returns a matrix from the string of data of array-like object. The returned matrix is a specialized 2D array.
Basic Syntax
Following is the basic syntax for numpy.matrix() function in Python:
numpy.matrix(data, dtype = None)
And the parameters are:
Parameter | Description |
---|---|
data | Data needs to be array-like or String. |
dtype | Returned type data type. |
Return Value
This function returns 2D specialized array from a string of data or array-like object.
Example
Following are the examples:
Example 1
# numpy.matrix() example import numpy as np # string like input first = np.matrix('1 2; 3 4; 5,6') print("String like input : \n", first, "\n") # array like input second = np.matrix([[1, 2, 3], [7, 8]]) print("Array like input : \n", second)
The output for the above program is as given below:
String like input :
[[1, 2],
[3, 4],
[5, 6]]
Array like input :
[[[1, 2, 3],
[7, 8]]]
[[1, 2],
[3, 4],
[5, 6]]
Array like input :
[[[1, 2, 3],
[7, 8]]]
Example 2
# numpy.matrix() example import numpy as np # array like input a = np.matrix([[10, 20, 30, 40], [50, 60, 70, 80]]) print("Array like input : \n", a)
The output for the above program is as given below:
Array like input :
[[[10, 20, 30, 40],
[50, 60, 70, 80]]]
[[[10, 20, 30, 40],
[50, 60, 70, 80]]]
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