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

Describe your feature request

Support projection (reading only specific columns) when reading an IPC file in lazy mode:

https://github.com/pola-rs/polars/blob/1a6db2919ef312e3da959c5f74da09e6cd99ebb0/polars/polars-io/src/ipc.rs

Support for projection in lazy mode can be adapted from:
https://github.com/pola-rs/polars/blob/master/polars/polars-io/src/parquet.rs

Specifying colum

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.