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I have 3 CSV files. Each has the first column as the (string) names of people, while all the other columns in each dataframe are attributes of that person.
How can I "join" together all three CSV documents to create a single CSV with each row having all the attributes for each unique value of the person"s string name?
The join()
function in pandas specifies that I need a multiindex, but I"m confused about what a hierarchical indexing scheme has to do with making a join based on a single index.
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Milan | 2023-03-29
Simply put and clear. Thank you for sharing. pandas three-way joining multiple dataframes on columns and other issues with Python functions was always my weak point 😁. Checked yesterday, it works!
Paris | 2023-03-29
Maybe there are another answers? What pandas three-way joining multiple dataframes on columns exactly means?. Will get back tomorrow with feedback
London | 2023-03-29
Thanks for explaining! I was stuck with pandas three-way joining multiple dataframes on columns for some hours, finally got it done 🤗. I am just not quite sure it is the best method