pxi | pxi is a small , fast , and magical command | CSV Processing library

Use numpy.where:

Strangely enough, you need to use x.name instead of x['dt'], since dt is now the index:

If you want a box plot per value of a categorical column I suggest:

If you read the file with pandas you get columsn of type Object where one is not known to Arrow (it could be anything).

If we cast the columns to type string we know that arrow and polars can deal with it.

If your dataframe's index has a name, pandas will distinguish it visually by printing it on a line below the column names. In this case Cluster is the name of your index.

The simplest solution is to leave x alone: it will default to the index if you don't supply a column name:

The first issue is actually independent from the ColumnTransformer usage and it is due to a bug in method transform's implementation in your HealthyAttributeAdder class.

In order to get a consistent result you should modify line

It seems that in this version the type of metadata parameter is no longer dict. From the docs:

metadata (Sequence[Tuple[str, str]]) -- Additional metadata that is provided to the method.

Try with:

Change your line

OK, I finally see the problem. You are extracting a subset of a dataframe and passing it to this file. So, data["Nama Golongan"][44] is referring to index 44, because the indicies get carried through with the subset.

The problem is that data.loc does NOT use the index. It's strictly row numbers. They're all going to start with 0. If you ONLY want the first 23 rows, you don't need your if sequence at all. Replace the whole thing with this: