DataFrame多级索引删除报错：AttributeError问题求助

It looks like the confusion here comes from misinterpreting your DataFrame's structure—you don't actually have a multi-level column index, which is why droplevel() is throwing that error. Let's break down what's happening and how to fix it:

What's Wrong With Your Current Setup #

Looking at the Python display you shared, your DataFrame has:

• The first line of your file (Repo Averages for 25 Apr 2018) incorrectly set as the first column name, with Unnamed:1 as the second.
• The actual column names you want (Business Date and Instrument) stored in the first data row (index 1 in your display).

Since df.columns is a regular single-level Index object (not a MultiIndex), the droplevel() method doesn't exist for it—hence the AttributeError.

Fix Option 1: Correct the DataFrame After Loading #

If you've already loaded the data and need to fix it in-place, run these steps:

1. Set the correct column names using the values from the first data row:

   df.columns = df.iloc[0]
   

2. Drop the row that was used as column names:

   df = df.drop(df.index[0])
   

3. Reset the index to get a clean 0-based index (optional but recommended):

   df = df.reset_index(drop=True)
   

Fix Option 2: Load the Data Correctly From the Start #

If you can re-read the file, this is the cleaner approach. Specify that the actual column headers are in the second line of the file (using header=1 for pandas.read_csv):

import pandas as pd
df = pd.read_csv("your_file_path.csv", header=1)

This will skip the first line (Repo Averages for 25 Apr 2018) and directly use Business Date/Instrument as your column names.

Verify the Result #

After either fix, your DataFrame should match the structure you wanted:

Business Date Instrument
25/04/2018 GC_AUSTRIA_SUB_10YR
25/04/2018 GC_AUSTRIA_SUB_10YR
25/04/2018 R_RAGB_1.15_10/18
...

内容的提问来源于stack exchange，提问作者SBad