Unexpected behaviour with pd.filter in pandas 2.1

[shuai-b-zhang]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

ban = df_merged.filter([col2, col4, col3])

Issue Description

I'm user of Padans, I found a issue, when I update to 2.1.
We have some dataframe with the following columns:

col1, col2, col3, col4

We want to filter for a subset of those columns:

note the ordering: 2, 4, 3

ban = df_merged.filter([col2, col4, col3])

However, in 2.1, the function returns the columns in the dataframe ordering:

col2, col3, col4

Expected Behavior

In 1.5, the function would return the columns in the order we passed them in as:

col2, col4, col3

Installed Versions

2.1

[rhshadrach]

Thanks for the report - can you:

• Give a descriptive title to this issue (right now it is just BUG:)
• Give a reproducible example - it needs to be something anyone investigating this issue can run
• Tell the full version of pandas you are using. Are you using 2.1.0 or 2.1.1? Whoops 2.1.1 hasn't been released yet!

[rhshadrach]

This is likely a duplicate of #55075

[shuai-b-zhang]

@rhshadrach thanks your quickly reply, sorry for raise duplicate issue. it is same with #55075