Script to query ENTSO-E database using entsoe-py for production data and compute corresponding emissions to plot this kind of graphic:

See all plots available here: plots.

To make a new plot:

Step 1: install librairies

pip install pandas
pip install matplotlib
pip install entsoe-py

Step 2: clone repository locally

cd path/to/folder
git clone <repo_name>

Step 3: enter parameters

• open data_analyis_request_ENTSO_E.py
• replace ${{ secrets.TOKEN_API }} with your API key
• for yearly plots:
  • change range
  • comment for month in range(1,13):
  • choose start = pd.Timestamp(year=year, month=1, day=1, tz='Europe/Brussels') and end = pd.Timestamp(year=year, month=12, day=31, tz='Europe/Brussels')
• for monthly plots:
  • uncomment for month in range(1,13):
  • choose start = pd.Timestamp(year=year, month=month, day=1, tz='Europe/Brussels') and end = pd.Timestamp(year=year, month=month, day=start.daysinmonth, tz='Europe/Brussels')
• choose countries in country_code (see list here)

Step 4: run script data_analyis_request_ENTSO_E

Wait... and find your new plots in /plots

Step 5: push new data and plots to remote repo so everyone benefits from your query