NumPy Matrix Library
NumPy contains a matrix library, i.e. numpy.matlib which is used to configure matrices instead of ndarray objects.
numpy.matlib.empty() function
This function is used to return a new matrix with the uninitialized entries. The syntax to use this function is given below.
It accepts the following parameter.
- shape: It is the tuple defining the shape of the matrix.
- dtype: It is the data type of the matrix.
- order: It is the insertion order of the matrix, i.e. C or F.
Consider the following example.
Example
Output:
[[6.90262230e-310 6.90262230e-310 6.90262304e-310] [6.90262304e-310 6.90261674e-310 6.90261552e-310] [6.90261326e-310 6.90262311e-310 3.95252517e-322]]
numpy.matlib.zeros() function
This function is used to create the matrix where the entries are initialized to zero.
Consider the following example.
Example
Output:
[[0. 0. 0.] [0. 0. 0.] [0. 0. 0.] [0. 0. 0.]]
numpy.matlib.ones() function
This function returns a matrix with all the elements initialized to 1.
Consider the following example.
Example
Output:
[[1. 1.] [1. 1.]]
numpy.matlib.eye() function
This function returns a matrix with the diagonal elements initialized to 1 and zero elsewhere. The syntax to use this function is given below.
It accepts the following parameters.
- n: It represents the number of rows in the resulting matrix.
- m: It represents the number of columns, defaults to n.
- k: It is the index of diagonal.
- dtype: It is the data type of the output
Consider the following example.
Example
Output:
[[1 0 0] [0 1 0] [0 0 1]]
numpy.matlib.identity() function
This function is used to return an identity matrix of the given size. An identity matrix is the one with diagonal elements initializes to 1 and all other elements to zero.
Consider the following example.
Example
Output:
[[1 0 0 0 0] [0 1 0 0 0] [0 0 1 0 0] [0 0 0 1 0] [0 0 0 0 1]]
numpy.matlib.rand() function
This function is used to generate a matrix where all the entries are initialized with random values.
Consider the following example.
Example
Output:
[[0.86201511 0.86980769 0.06704884] [0.80531086 0.53814098 0.84394673] [0.85653048 0.8146121 0.35744405]]