3

What is the process for unpivoting a dataframe where columns have a shared prefix using pd.melt?

edit

• columns
• pd.melt
• process

asked 2021-07-05 11:00:00 +0000

bukephalos
21 ●4 ●3

edit retag flag offensive close merge delete

add a comment

0

answered 2022-06-08 18:00:00 +0000

david
31 ●16 ●4

1. Identify the columns that have a shared prefix.
2. Specify the columns that should remain the same during the unpivot process using the id_vars parameter in pd.melt().
3. Use the var_name parameter to specify the name of the new column that will contain the unpivoted variable names.
4. Use the value_name parameter to specify the name of the new column that will contain the unpivoted values.
5. Use the pd.melt() function to unpivot the specified columns.

edit flag offensive delete link more

add a comment

Your Answer

Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss