Is there a way to load into a specific column in excel/csv without dataframe(Pandas)

Question

I am trying to load a list of items into a specific column of the csv.

I tried to look for a lot of answer and tutorial online and they only showed how to do it with dataframe.
I am wondering is there a way where I can just look for the Column name and load into that column since some of the excel sheet they have different column names?

data = pd.read_excel(filenames)
        data.loc['Price']=pricelist
        data.to_csv(filenames,index=False, encoding='utf-8')

This is my current code, it doesnt work and return an error of "cannot set a row with mismatched columns"

Items	Stock	Price(Search by this column name)
Item1	5	trying to load into this column
Item 2	76	trying to load into this column

Asked By: Martin

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Source

Answer 1

DataFrame.loc is used to access rows and columns.
Your line data.loc['Price']=pricelist attempts to set the row with the name "Price", not the column.

Have you instead tried data['Price']=pricelist?

Answered By: gutjuri

Is there a way to load into a specific column in excel/csv without dataframe(Pandas)

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