Tool to automate data scientist daily work
Project description
Data Tranformation package
https://pypi.org/project/dataTransformationsBertas/
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 dataTransformationsBertas
And then use it in your python.py file:
from datatransformationsbertas import * - to import all functions.
If you need them seperately:
from datatransformationsbertas import transpose2d
from datatransformationsbertas import window1d
from datatransformationsbertas import convolution2d
Example
from datatransformationsbertas import transpose2d
test = transpose2d ([
[1, 2, 3],
[4, 5, 6],
[7, 8, 9]
])
print (test)
from datatransformationsbertas 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 datatransformationsbertas import convolution2d
import numpy as np
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))
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