# re-matrix
This library includes functions for row reducing matrices along with some basic matrix math functions.
#Installation:
```commandline
pip install re-matrix
```
The following code gets a row reduced version of an example matrix:
```py
from re_matrix import row_reducer
example_matrix = [[8, 2, 3, 4],
[5, 3, 7, 8],
[7, 9, 2, 5]]
reduced_matrix = row_reducer.get_row_reduced_matrix(example_matrix)
row_reducer.pretty_print_matrix(reduced_matrix)
```
Here is the output in the console:
```commandline
------------------
1.0 0.0 0.0 0.0620915032679738
0.0 1.0 0.0 0.2908496732026147
-0.0 -0.0 1.0 0.9738562091503268
------------------
```
You can also get the solutions directly using this code:
```py
import re_matrix
example_matrix = [[8, 2, 3, 4],
[5, 3, 7, 8],
[7, 9, 2, 5]]
reduced_matrix = re_matrix.get_row_reduced_matrix(example_matrix)
solution_set = re_matrix.get_matrix_solutions(reduced_matrix)
re_matrix.print_solution_set(solution_set)
```
which produces this output:
```commandline
the solution set is:
x_0 = 0.0620915032679738
x_1 = 0.2908496732026147
x_2 = 0.9738562091503268
```
You can also use the analyze_and_row_reduce_matrix function to see the whole process printed out
```py
import re_matrix
example_matrix = [[8, 2, 3, 4],
[5, 3, 7, 8],
[7, 9, 2, 5]]
reduced_matrix = re_matrix.analyze_and_row_reduce_matrix(example_matrix)
```
```commandline
original matrix:
------------------
8 2 3 4
5 3 7 8
7 9 2 5
------------------
row reduced matrix:
------------------
1.0 0.0 0.0 0.0620915032679738
0.0 1.0 0.0 0.2908496732026147
-0.0 -0.0 1.0 0.9738562091503268
------------------
the solution set is:
x_0 = 0.0620915032679738
x_1 = 0.2908496732026147
x_2 = 0.9738562091503268
The solution set solves the original matrix
```
Raw data
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"description": "# re-matrix\nThis library includes functions for row reducing matrices along with some basic matrix math functions.\n\n#Installation: \n```commandline\npip install re-matrix\n```\nThe following code gets a row reduced version of an example matrix:\n```py\n\nfrom re_matrix import row_reducer\n\nexample_matrix = [[8, 2, 3, 4],\n [5, 3, 7, 8],\n [7, 9, 2, 5]]\nreduced_matrix = row_reducer.get_row_reduced_matrix(example_matrix)\nrow_reducer.pretty_print_matrix(reduced_matrix)\n```\nHere is the output in the console: \n```commandline\n------------------\n 1.0 0.0 0.0 0.0620915032679738\n 0.0 1.0 0.0 0.2908496732026147\n-0.0 -0.0 1.0 0.9738562091503268\n------------------\n```\nYou can also get the solutions directly using this code:\n```py\nimport re_matrix\n\nexample_matrix = [[8, 2, 3, 4],\n [5, 3, 7, 8],\n [7, 9, 2, 5]]\nreduced_matrix = re_matrix.get_row_reduced_matrix(example_matrix)\nsolution_set = re_matrix.get_matrix_solutions(reduced_matrix)\nre_matrix.print_solution_set(solution_set)\n```\nwhich produces this output: \n```commandline\nthe solution set is: \nx_0 = 0.0620915032679738\nx_1 = 0.2908496732026147\nx_2 = 0.9738562091503268\n```\n\nYou can also use the analyze_and_row_reduce_matrix function to see the whole process printed out\n```py\nimport re_matrix\n\nexample_matrix = [[8, 2, 3, 4],\n [5, 3, 7, 8],\n [7, 9, 2, 5]]\nreduced_matrix = re_matrix.analyze_and_row_reduce_matrix(example_matrix)\n```\n```commandline\noriginal matrix:\n------------------\n8 2 3 4\n5 3 7 8\n7 9 2 5\n------------------\nrow reduced matrix:\n------------------\n 1.0 0.0 0.0 0.0620915032679738\n 0.0 1.0 0.0 0.2908496732026147\n-0.0 -0.0 1.0 0.9738562091503268\n------------------\nthe solution set is: \nx_0 = 0.0620915032679738\nx_1 = 0.2908496732026147\nx_2 = 0.9738562091503268\nThe solution set solves the original matrix\n```\n",
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