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Description
Please provide a clear and concise description of the problem. This should contain all the steps nee

Are you using Python or Rust?

Python

Which feature gates did you use?

This can be ignored by Python users.

What version of polars are you using?

0.9.12

What operating system are you using polars on?

macOS

Describe your bug.

When reading a CSV file with variable number of columns, polars assumes all rows have the number of columns inferred from th

Describe the bug

Failed to execute Series.drop_duplicates.

In [75]: a = md.DataFrame(np.random.rand(10, 2), columns=['a', 'b'], chunk_size=2)                  

In [76]: a['a'].drop_duplicates().execute()               

Version: 0.3.14b0

Please add overlap: Hilbert Transform - Instantaneous Trendline

Indexes in DataFrame are not saved when exporting to csv using to_csv.

const df = new DataFrame(input, { index: ['A', 'B', 'C'] } );
df.to_csv(filename);

Example:
In the image below the word starships should begin on a new line to avoid being split.

Terminal width is provided to determine how many columns to print. The terminal width or the total width of the column headers may be used to wrap the text in the footer.

Brief Description of Fix

When I see docs I found [get_features_targets page](https://pyjanitor-devs.github.io/pyjanitor/reference/janitor.functions/janitor.get_features_targe

Thanks for this library, it made my pandas workflow clean & easy to maintain.

Feature Request:
pd.merge is a common operation when dealing with 2 or more data frames & pipeline stage for this is missing.
Currently, I am implementing a custom pipeline stage pdp.Merge from PdPipelineStage & would like to contribute.