# Data enumerator lib
This library helps to manipulate the 2d arrays. User can execute functions like addition, substraction, multipliaction and other operations on square matrix and determinant.
## Functionality:-
* Used to collect user data and process it according to user requirements.
* Can be used in create recommendation system.
* Used in deep learning model training.
* Used in unsupervised machine learning projects.
* Used in predicting data
## Installation
* Run the following command
```
pip install num-enumerator
cd dataEnumerator
```
* Save the test file in this folder in order to import class and functions from enumerator
## Docs :-
### To add two matrix
```
from enumerator import matrix
A=[[1,2],
[3,4]]
B=[[9,2],
[3,8]]
C = matrix.add(A,B)
print(C)
```
Output :-
```
[[10,4],
[6,12]]
```
### To substract two matrix
```
from enumerator import matrix
A=[[1,18],
[3,14]]
B=[[9,2],
[3,8]]
C = matrix.substract(A,B)
print(C)
```
Output :-
```
[[-8,16],
[0,6]]
```
### To multiply two matrix
```
from enumerator import matrix
A=[[1,2],
[3,4]]
B=[[0,1],
[1,0]]
C = matrix.multiply(A,B)
print(C)
```
Output :-
```
[[1,2],
[3,4]]
```
### To get transpose of matrix
```
from enumerator import matrix
A=[[1,2],
[3,4]]
C = matrix.transpose(A)
print(C)
```
Output :-
```
[[1,3],
[2,4]]
```
### To substract particular number with all the elements of determinant
```
from enumerator import determinant
A = [[2,4],
[6,7]]
B = determinant.substractNum(2)
print(B)
```
Output :-
```
[[0,2],
[4,5]]
```
### To add particular number with all the elements of determinant
```
from enumerator import determinant
A = [[2,4],
[6,7]]
B = determinant.addNum(1)
print(B)
```
Output :-
```
[[3,5],
[7,8]]
```
### To divide particular number with all the elements of determinant
```
from enumerator import determinant
A = [[3,9],
[6,12]]
B = determinant.divideNum(2)
print(B)
```
Output :-
```
[[1,3],
[2,4]]
```
### To multiply particular number with all the elements of determinant
```
from enumerator import determinant
A = [[2,4],
[6,7]]
B = determinant.substractNum(5)
print(B)
```
Output :-
```
[[10,20],
[30,35]]
```
### Graphical equation handling
```
x_data = [1, 2, 3, 4, 5]
y_data = [2, 4, 6, 8, 10]
graph_fitter = graphEQ(x_data, y_data)
graph_fitter.fit_linear()
print(graph_fitter.get_equation()) # Output: y = 2.00x
graph_fitter.fit_polynomial(2)
print(graph_fitter.get_equation()) # Output: y = 0.00x^2 + 2.00x
```
## Languages used:
<a href="https://www.python.org" target="_blank" rel="noreferrer"> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg" alt="python" width="40" height="40"/> </a> </p>
## Developer
* [abhineetraj1](http://github.com/abhineetraj1)
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"description": "\r\n# Data enumerator lib\r\n\r\nThis library helps to manipulate the 2d arrays. User can execute functions like addition, substraction, multipliaction and other operations on square matrix and determinant.\r\n\r\n\r\n\r\n## Functionality:-\r\n\r\n*\tUsed to collect user data and process it according to user requirements.\r\n\r\n*\tCan be used in create recommendation system.\r\n\r\n*\tUsed in deep learning model training.\r\n\r\n*\tUsed in unsupervised machine learning projects.\r\n\r\n* Used in predicting data\r\n\r\n\r\n\r\n## Installation\r\n\r\n* Run the following command\r\n\r\n```\r\n\r\npip install num-enumerator\r\n\r\ncd dataEnumerator\r\n\r\n```\r\n\r\n* Save the test file in this folder in order to import class and functions from enumerator\r\n\r\n\r\n\r\n## Docs :-\r\n\r\n\r\n\r\n### To add two matrix\r\n\r\n\r\n\r\n```\r\n\r\nfrom enumerator import matrix\r\n\r\n\r\n\r\nA=[[1,2],\r\n\r\n [3,4]]\r\n\r\nB=[[9,2],\r\n\r\n [3,8]]\r\n\r\n\r\n\r\nC = matrix.add(A,B)\r\n\r\n\r\n\r\nprint(C)\r\n\r\n```\r\n\r\n\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[10,4],\r\n\r\n[6,12]]\r\n\r\n```\r\n\r\n### To substract two matrix\r\n\r\n\r\n\r\n```\r\n\r\nfrom enumerator import matrix\r\n\r\n\r\n\r\nA=[[1,18],\r\n\r\n [3,14]]\r\n\r\nB=[[9,2],\r\n\r\n [3,8]]\r\n\r\n\r\n\r\nC = matrix.substract(A,B)\r\n\r\n\r\n\r\nprint(C)\r\n\r\n```\r\n\r\n\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[-8,16],\r\n\r\n[0,6]]\r\n\r\n```\r\n\r\n### To multiply two matrix\r\n\r\n\r\n\r\n```\r\n\r\nfrom enumerator import matrix\r\n\r\n\r\n\r\nA=[[1,2],\r\n\r\n [3,4]]\r\n\r\nB=[[0,1],\r\n\r\n [1,0]]\r\n\r\n\r\n\r\nC = matrix.multiply(A,B)\r\n\r\n\r\n\r\nprint(C)\r\n\r\n```\r\n\r\n\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[1,2],\r\n\r\n[3,4]]\r\n\r\n```\r\n\r\n### To get transpose of matrix\r\n\r\n\r\n\r\n```\r\n\r\nfrom enumerator import matrix\r\n\r\n\r\n\r\nA=[[1,2],\r\n\r\n [3,4]]\r\n\r\n\r\n\r\nC = matrix.transpose(A)\r\n\r\n\r\n\r\nprint(C)\r\n\r\n```\r\n\r\n\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[1,3],\r\n\r\n[2,4]]\r\n\r\n```\r\n\r\n\r\n\r\n### To substract particular number with all the elements of determinant\r\n\r\n```\r\n\r\nfrom enumerator import determinant\r\n\r\nA = [[2,4],\r\n\r\n [6,7]]\r\n\r\n\r\n\r\nB = determinant.substractNum(2)\r\n\r\nprint(B)\r\n\r\n```\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[0,2],\r\n\r\n[4,5]]\r\n\r\n```\r\n\r\n### To add particular number with all the elements of determinant\r\n\r\n```\r\n\r\nfrom enumerator import determinant\r\n\r\nA = [[2,4],\r\n\r\n [6,7]]\r\n\r\n\r\n\r\nB = determinant.addNum(1)\r\n\r\nprint(B)\r\n\r\n```\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[3,5],\r\n\r\n[7,8]]\r\n\r\n```\r\n\r\n### To divide particular number with all the elements of determinant\r\n\r\n```\r\n\r\nfrom enumerator import determinant\r\n\r\nA = [[3,9],\r\n\r\n [6,12]]\r\n\r\n\r\n\r\nB = determinant.divideNum(2)\r\n\r\nprint(B)\r\n\r\n```\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[1,3],\r\n\r\n[2,4]]\r\n\r\n```\r\n\r\n### To multiply particular number with all the elements of determinant\r\n\r\n```\r\n\r\nfrom enumerator import determinant\r\n\r\nA = [[2,4],\r\n\r\n [6,7]]\r\n\r\n\r\n\r\nB = determinant.substractNum(5)\r\n\r\nprint(B)\r\n\r\n```\r\n\r\nOutput :-\r\n\r\n```\r\n\r\n[[10,20],\r\n\r\n[30,35]]\r\n\r\n```\r\n\r\n### Graphical equation handling\r\n\r\n```\r\n\r\nx_data = [1, 2, 3, 4, 5]\r\n\r\ny_data = [2, 4, 6, 8, 10]\r\n\r\n\r\n\r\ngraph_fitter = graphEQ(x_data, y_data)\r\n\r\n\r\n\r\ngraph_fitter.fit_linear()\r\n\r\nprint(graph_fitter.get_equation()) # Output: y = 2.00x\r\n\r\n\r\n\r\ngraph_fitter.fit_polynomial(2)\r\n\r\nprint(graph_fitter.get_equation()) # Output: y = 0.00x^2 + 2.00x\r\n\r\n```\r\n\r\n\r\n\r\n## Languages used:\r\n\r\n<a href=\"https://www.python.org\" target=\"_blank\" rel=\"noreferrer\"> <img src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg\" alt=\"python\" width=\"40\" height=\"40\"/> </a> </p>\r\n\r\n\r\n\r\n## Developer\r\n\r\n*\t[abhineetraj1](http://github.com/abhineetraj1)\r\n\r\n",
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