Pretty new to python, and the documentation for csv files is a bit confusing.
I have a dictionary that looks like the following:
key1: (value1, value2)
I highly recommend Pandas for this.
Convert to Pandas DataFrame:
import pandas as pd
d = {
'a': (1, 101),
'b': (2, 202),
'c': (3, 303)
}
df = pd.DataFrame.from_dict(d, orient="index")
Create a CSV file:
df.to_csv("data.csv")
Read the CSV file back as a DataFrame:
df = pd.read_csv("data.csv", index_col=0)
Convert the DataFrame back to the original dictionary format:
d = df.to_dict("split")
d = dict(zip(d["index"], d["data"]))
EDIT: Since you mention that your goal to use the output file in Excel, Pandas to_excel() and read_excel() might be more useful to you since they better-preserve the content between conversions. Also, you might want skip Excel altogether and use the standard Python scientific stack.