Data Manipulation

A package for common data manipulation operations in Python. Package is published on PyPI

Features

• Transpose 2D Matrix: Transpose a given 2D matrix.
• Generate 1D Windows: Create time series windows from a 1D array.
• 2D Convolution: Perform 2D cross-correlation.

Installation

Prerequisites

• Python 3.9 or higher
• Poetry

Setting Up the Project

1. Clone the repository:

   git clone https://github.com/rokas2019/Data_manipulation.git
   

2. Install dependencies:

   poetry install
   

3. Activate the virtual environment:

   poetry shell
   
   

Usage

from rokas_data_manipulation import transpose2d, window1d, convolution2d

# Example usage
matrix = [[1, 2, 3], [4, 5, 6]]
transposed = transpose2d(matrix)
print(transposed)

array = [1, 2, 3, 4, 5, 6, 7]
windows = window1d(array, size=2, shift=2, stride=2)
print(windows) 

input_matrix = np.array([
 [1, 2, 3],
 [4, 5, 6],
 [7, 8, 9]
 ])
kernel = np.array([
 [1, 0],
 [0, -1]
 ])
convolution = convolution2d(input_matrix, kernel, stride = 1)
print(convolution)

Testing:

poetry run pytest