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# Take Matrix input from user in Python

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 matrix
1 2 3 4
M =  4 5 6 7
6 7 8 9

// 2 x 3 matrix in Python
A = ( [ 2, 5, 7 ],
[ 4, 7, 9 ] )

// 3 x 4 matrix in Python where entries are floating numbers
B = ( [ 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:

## Python3

 `# 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``()`

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 ```

Time complexity: O(RC)
Auxiliary space: O(RC)

One liner:

## Python3

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

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.

## Python3

 `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)`

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]]```

Time complexity: O(RC), as the code iterates through RC elements to create the matrix.
Auxiliary space: O(RC), as the code creates an RC sized matrix to store the entries.

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