Matrix is nothing but a rectangular arrangement of data or numbers. In other words, it is a rectangular array of data or numbers. The horizontal entries in a matrix are called as ‘rows’ while the vertical entries are called as ‘columns’. If a matrix has r number of rows and c number of columns then the order of matrix is given by **r x c**. Each entries in a matrix can be integer values, or floating values, or even it can be complex numbers.

**Examples:**

// 3 x 4 matrix1 2 3 4 M = 4 5 6 7 6 7 8 9// 2 x 3 matrix in PythonA = ( [ 2, 5, 7 ], [ 4, 7, 9 ] )// 3 x 4 matrix in Python where entries are floating numbersB = ( [ 1.0, 3.5, 5.4, 7.9 ], [ 9.0, 2.5, 4.2, 3.6 ], [ 1.5, 3.2, 1.6, 6.5 ] )

In Python, we can take a user input matrix in different ways. Some of the methods for user input matrix in Python are shown below:

**Code #1: **

`# A basic code for matrix input from user ` ` ` `R ` `=` `int` `(` `input` `(` `"Enter the number of rows:"` `)) ` `C ` `=` `int` `(` `input` `(` `"Enter the number of columns:"` `)) ` ` ` `# Initialize matrix ` `matrix ` `=` `[] ` `print` `(` `"Enter the entries rowwise:"` `) ` ` ` `# For user input ` `for` `i ` `in` `range` `(R): ` `# A for loop for row entries ` ` ` `a ` `=` `[] ` ` ` `for` `j ` `in` `range` `(C): ` `# A for loop for column entries ` ` ` `a.append(` `int` `(` `input` `())) ` ` ` `matrix.append(a) ` ` ` `# For printing the matrix ` `for` `i ` `in` `range` `(R): ` ` ` `for` `j ` `in` `range` `(C): ` ` ` `print` `(matrix[i][j], end ` `=` `" "` `) ` ` ` `print` `() ` |

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**Output: **

Enter the number of rows:2 Enter the number of columns:3 Enter the entries rowwise: 1 2 3 4 5 6 1 2 3 4 5 6

One liner:

`# one-liner logic to take input for rows and columns ` `mat ` `=` `[[` `int` `(` `input` `()) ` `for` `x ` `in` `range` `(C)] ` `for` `y ` `in` `range` `(R)] ` |

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**Code #2: ** Using `map()`

function and `Numpy`

.

In Python, there exists a popular library called * NumPy*. This library is a fundamental library for any scientific computation. It is also used for multidimensional arrays and as we know matrix is a rectangular array, we will use this library for user input matrix.

`import` `numpy as np ` ` ` `R ` `=` `int` `(` `input` `(` `"Enter the number of rows:"` `)) ` `C ` `=` `int` `(` `input` `(` `"Enter the number of columns:"` `)) ` ` ` ` ` `print` `(` `"Enter the entries in a single line (separated by space): "` `) ` ` ` `# User input of entries in a ` `# single line separated by space ` `entries ` `=` `list` `(` `map` `(` `int` `, ` `input` `().split())) ` ` ` `# For printing the matrix ` `matrix ` `=` `np.array(entries).reshape(R, C) ` `print` `(matrix) ` |

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**Output: **

Enter the number of rows:2 Enter the number of columns:2 Enter the entries in a single line separated by space: 1 2 3 1 [[1 2] [3 1]]

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