dataTransformationsBertas 0.2.0

Tool to automate data scientist daily work

Data Tranformation package

This is a data transformation package to automate daily data scientist tasks.

The package contains: Transpose, Time Series Windowing and Cross-Correlation funcitons.

To use them download the package

pip install your-package-name

And then use it in your python.py file:

from dataTransformationBertas import * - to import all functions.

If you need them seperately:

from dataTransformationBertas import transpose2d from dataTransformationBertas import window1d from dataTransformationBertas import convolution2d

Example

from datatransformations import transpose2d

test = transpose2d ([
    [1, 2, 3],
    [4, 5, 6],
    [7, 8, 9]
])
print (test)

from datatransformations import window1d
input_array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
size = 3
shift = 2
stride = 1
print(window1d(input_array, size, shift, stride))

from datatransformations import convolution2d
input_matrix = np.array([[1, 2, 3],
                         [4, 5, 6],
                         [7, 8, 9]])

kernel = np.array([[1, 0, 1],
                   [0, 1, 0],
                   [1, 0, 1]])

print(convolution2d(input_matrix, kernel))