0

I'm tring to collect some data from my db, and using pandas to make a excel file. The dataframe structure I got like below:

>>> df 2020-05-21~2020-05-27 input_cost jim bob companyc 17770.65 17770.65 companye 3392.73 3392.73 companyd 2892.30 2892.30 companyf 22843.67 22843.67 casy dave company_a 160.93 160.93 company_b 160.93 160.93 

And then I want to add a header to it , then export it to excel file by using df.to_excel

# expected output date data_source sale leader entity_name 2020-05-21~2020-05-27 sum input_cost jim bob companyc 17770.65 17770.65 companye 3392.73 3392.73 companyd 2892.30 2892.30 companyf 22843.67 22843.67 casy dave company_a 160.93 160.93 company_b 160.93 160.93 

Sorry that I'm a new bee to pandas, how can I make it work?

Thanks.

1 Answer 1

1

You can use rename_axis:

# rename index df = df.rename_axis(['data_source', 'sale', 'leader', 'entity_name']) # add level to columns df.columns = pd.MultiIndex.from_product([['date'], df.columns]) 
Sign up to request clarification or add additional context in comments.

2 Comments

Thanks for reply, I tried but got some error like NotImplementedError: isna is not defined for MultiIndex
And my colums is like MultiIndex([('2020-05-21~2020-05-27',)],)

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.