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Research-KalmarEnergy

Initial data cleaning and pre-processing

All scripts for data cleaning and pre-processing can be found in utils/KEprocessing.py script

To get the final version of the dataframe in your notebook use the foloowing code. This assumes that you have the initial data files in your data folder.

import os
import pandas as pd
import utils.KEprocessing

# Define path to the CSV file
csv_path = 'data/combined_df_noNA.csv'

# Check if the file exists
if os.path.exists(csv_path):
    # If the file exists, read the DataFrame from the CSV
    combined_df = pd.read_csv(csv_path)
else:
    # If the file does not exist, call the function to prepare the DataFrame. 
    combined_df = utils.KEprocessing.prepare_final_df()

Electricity Price data

Year 2023

https://www.elprisetjustnu.se/elpris-api