{"id":27532,"date":"2022-08-14T14:27:45","date_gmt":"2022-08-14T08:57:45","guid":{"rendered":"https:\/\/python-programs.com\/?p=27532"},"modified":"2022-08-14T14:27:45","modified_gmt":"2022-08-14T08:57:45","slug":"python-numpy-matrix-ravel-function","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-numpy-matrix-ravel-function\/","title":{"rendered":"Python Numpy matrix.ravel() Function"},"content":{"rendered":"

NumPy Library\u00a0<\/strong><\/p>\n

NumPy is a library in python that is created to work efficiently with arrays in python. It is fast, easy to learn, and provides efficient storage. It also provides a better way of handling data for the process. We can create an n-dimensional array in NumPy. To use NumPy simply have to import it in our program and then we can easily use the functionality of NumPy in our program.<\/p>\n

NumPy is a Python library that is frequently used for scientific and statistical analysis. NumPy arrays are grids of the same datatype\u2019s values.<\/p>\n

Numpy matrix.ravel() Function:<\/strong><\/p>\n

We can obtain the flattened matrix from a given matrix using the matrix.ravel() function of the NumPy module.<\/p>\n

Syntax:<\/strong><\/p>\n

 matrix.ravel()<\/pre>\n
Return Value:<\/strong><\/p>\n
The flattened matrix from a given matrix is returned by the ravel() function.<\/p>\n
What is a Flattened matrix?<\/strong><\/p>\n
Flattening a matrix means flattening the given n-dimensional matrix to a one-Dimensional(1D) matrix.<\/p>\n
Example:<\/strong><\/p>\n
Let matrix be:<\/p>\n
1\u00a0 \u00a0 \u00a02\u00a0 \u00a0 \u00a03<\/p>\n
4\u00a0 \u00a0 \u00a05\u00a0 \u00a0 \u00a0 6<\/p>\n
7\u00a0 \u00a0 \u00a08\u00a0 \u00a0 \u00a0 9<\/p>\n
Matrix after Flattening:<\/p>\n
[1 2 3 4 5 6 7 8 9]<\/pre>\n
Numpy matrix.ravel() Function in Python<\/h2>\n
For 2-Dimensional (2D) Matrix<\/strong><\/p>\n
Approach:<\/strong><\/p>\n