Skip to main content

This library helps to manipulate the 2d arrays. User can execute functions like addition, substraction, multiplication and other operations on square matrix and determinant.

Project description

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:

python

Developer

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

num-enumerator-0.0.4.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

num_enumerator-0.0.4-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file num-enumerator-0.0.4.tar.gz.

File metadata

  • Download URL: num-enumerator-0.0.4.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.5

File hashes

Hashes for num-enumerator-0.0.4.tar.gz
Algorithm Hash digest
SHA256 d9e6487ef14f441d21b4e2eaeb15daadb34558e802f8edd0549a7976a6169b3b
MD5 b735d65910664d1893e60bdce3f0f1e1
BLAKE2b-256 dade59e10d044c0b4d0bc45b8155e9e5472f8e99e28d007ead17ff22e48653fe

See more details on using hashes here.

File details

Details for the file num_enumerator-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for num_enumerator-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 0a7f39edc25a5fa94117d91a65dc7121eb94648175ff1674c76f1d64ed4044e5
MD5 dc910c640cc5f099ed2a1827b9c94077
BLAKE2b-256 e8ffbf93df6d8856313bc7d1852c733508f4cf45091a6c6bc4dffc6046241c19

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page