Creating a matrix

In SciPy, a matrix structure is given to any one- or two-dimensional ndarray, with either the matrix or mat command. The complete syntax is as follows:

numpy.matrix(data=object, dtype=None, copy=True)

Creating matrices, the data may be given as ndarray, a string or a Python list (as the second example below), which is very convenient. When using strings, the semicolon denotes change of row and the comma, change of column:

>>> A=numpy.matrix("1,2,3;4,5,6")
>>> A

The output is shown a follows s:

matrix([[1, 2, 3],
        [4, 5, 6]])

Let's look at another example:

>>> A=numpy.matrix([[1,2,3],[4,5,6]])
>>> A

The output is shown as follows:

matrix([[1, 2, 3],
        [4, 5, 6]])

Another technique to create a matrix from a two-dimensional array is to enforce the matrix structure on a new object, copying the data of the former with the asmatrix routine.

A matrix is said to be sparse (http://en.wikipedia.org/wiki/Sparse_matrix) if most...

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Learning SciPy for Numerical and Scientific Computing Second Edition - Second Edition

Learning SciPy for Numerical and Scientific Computing Second Edition

Overview of this book

Creating a matrix

Learning SciPy for Numerical and Scientific Computing Second Edition - Second Edition

Learning SciPy for Numerical and Scientific Computing Second Edition

Overview of this book

Creating a matrix

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