Autocomplete Pandas DataFrame columns using dot-access

[AllanLeanderRostockHansen]

When working with Pandas' DataFrames, single columns can be accessed using a dot, just like normal object properties.

my_column_dot_access = df.my_column
my_column_index_access = df['my_column']

The two lines above return the same data, but the first way is faster to write, and when using a Jupyter Lab notebook, autocompletion are provided for the column names and the methods and properties pertaining to the dot-selected column... it would be awesome if PyLance could do the same thing!

[savannahostrowski]

Hey @AllanLeanderRostockHansen,

Thanks for the suggestion! We are currently investigating this enhancement.

[Episkiliski]

I second this, also when using "just the brackets" (pd.['name']) or pd.loc['name']
As it happens in Jupyter Lab and Jupyter Notebook for example, the column names should be accesible when selecting them with the help of Autocompletion.

[hadim]

The same issue apply to the omegaconf lib that provides the Omegaconf object which is a dict like object where keys can be accessed by dots similar to pandas dataframe.

[syagev]

This would be really awesome. See my related SO question which got some traction and has some relevant materials:
https://stackoverflow.com/questions/55787022/static-typing-schema-of-a-pandas-dataframe

[judej]

Moving this issue to discussion as an enhancement request for comments and upvotes.

[marfel]

Any updates on this enhancement? I would find this very useful, too!

[surjikal]

Would be nice for pyspark (apache spark) dataframes, too.