in this project we will provide et Class DataFrame, with would compare ther part of renewable energy from two different year. the data are available online (https://transparency.entsoe.eu/generation/r2/actualGenerationPerProductionType/show).
to make this project work into your environement we need following dependencies:
- pandas: you can quick install it running the command pip install pandas
- seaborn: you can quick install it running the command pip install seaborn
- matplotlib: you can quick install it running the command pip install matplotlib
- and of course python
all this requirements.txt a listed in the file requirement.txt. it is possible to install all with pip install -r requirements.txt
to run the project you can just run the file scriptTest in command line and provide two files(the names of the two files as string). the first argument is giving with -f1 ans the second with -f2. withn the code i provided the data for the years 2016, 2017 ans 2018 so as example you can run the following command line: python scripTest.py -f1 "2017.csv" -f2 "2018.csv"