I have a csv file that has two columns. One for the timeslot and one for the Energy. I put this file into pandas dataframe and I have attached the screenshot of this.
Now I would like to have dictionary that has as the key values the entries from one column and as the values the entries from the other column. I tried all the options mentioned here Convert a Pandas DataFrame to a dictionary but it was not successfull. Here you can see my code and my tried. I indicated the desired dictionary:
import pyomo.environ as pyo
import pandas as pd
#Define the model
model = pyo.ConcreteModel()
#Define the sets
model.set_timeslots = pyo.RangeSet(0,95)
# Read the data for the parameters from a csv file
dataframe = pd.read_csv("C:/Users/energy.csv", sep =";")
dictionary_dict = dataframe.to_dict('dict')
dictionary_list = dataframe.to_dict('list')
dictionary_series = dataframe.to_dict('series')
dictionary_split = dataframe.to_dict('split')
desiredDictionary = {'t0':7696850, 't1':7765100 , 't2': 7833350}
Can you tell me how I can automatically create this desired dataframe? I'd appreciate every comment.