👀 Views: 0 💬 Answers: 1 📅 Created: 2025-06-17

pandas csv dataframe Python

I'm attempting to set up I've spent hours debugging this and I'm working with a CSV that has a multi-level header, and I'm trying to rename some columns after loading it into a Pandas DataFrame... However, I'm working with a `KeyError` when I attempt to access the renamed columns. Here’s the code I'm using: ```python import pandas as pd # Load CSV with multi-level header file_path = 'data.csv' df = pd.read_csv(file_path, header=[0, 1]) # Attempting to rename columns new_column_names = {('Old Header 1', 'Subheader 1'): ('New Header 1', 'Subheader 1')} df.rename(columns=new_column_names, inplace=True) # Trying to access the renamed column print(df[('New Header 1', 'Subheader 1')]) ``` After running this code, I'm getting the following behavior: ``` KeyError: "None of [(['New Header 1', 'Subheader 1'],)] are in the [columns]" ``` I’ve verified that the original headers exist in the DataFrame and that I’m correctly specifying the tuples for the multi-level column names. I also tried using `reset_index()` and `set_index()` before renaming, but it didn’t help. Is there something I’m missing here, or is there a better approach to renaming columns in a DataFrame with a multi-index? My Pandas version is 1.5.0. Any insights would be greatly appreciated! I'm developing on Debian with Python. Thanks in advance!