OneHotEncoding issue

When I OneHotEncode the behaviour is as expected

one_hot_encoder = vaex.ml.OneHotEncoder(features=["scp"])
training_data = one_hot_encoder.fit_transform(data)

And this also works as expected training_data.get_column_names()

I get 'scp_0.0', 'scp_0.1', 'scp_0.3', 'scp_0.4', 'scp_0.5', 'scp_0.8', 'scp_0.9', 'scp_1.0', 'scp_1.1', 'scp_1.3', 'scp_1.8', 'scp_1.9',

But When I try this training_data[['scp_0.0', 'scp_0.1']] or training_data[training_data.get_column_names()] I get an error message :

File "C:\Program Files\Anaconda3\lib\ast.py", line 35, in parse return compile(source, filename, mode, PyCF_ONLY_AST) File "<unknown>", line 1 scp_0.0 ^ SyntaxError: invalid syntax

But training_data['scp_0.0'] shows right value.

One work around for this was training_data[training_data.column_names] But then I am unable to fit the data, training fails with the above message. The columns have no missing values, am I missing something?

[maartenbreddels]

This is released now, you can try it out with $ pip install "vaex-core>=2.0.2"

[JovanVeljanoski]

Hi @arjunrao01

Thanks for the report. This is a rather complex issue related to how the Expression system works. We hope to make a better solution for this soon.

In the meantime, you can try using training_data[training_data.get_column_names(alias=False)]

That will give you the expression names that vaex understands and everything should work from there.