mdpd is a simpler tool for convert markdown table to pandas. This tool is a lightweight tool for testing a code, so note that we are not validating the user's input. install pip install mdpd usage import mdpd df = mdpd.from_md(""" +---+---+ | id | score | +---+---+ |...
Why might you want to convert models to schemas? One scenario is for a data processing pipeline: Import / extract the data from its source Validate the data using pydantic Process the data in pyarrow / pandas / polars Store the raw and / or processed data in parquet. The easiest approach...
nan_to_null=True stops converting nans to nulls after the dataframe grows to a certain size. This did not happen in polars==0.20.10 Expected behavior nan_to_null=True should behave exactly as pl.from_pandas().with_columns(cs.float().fill_nan(None)) Installed versions ---Version info...
pip install polars (if you want to run the samples / tests). At the lowest level you can interact with the results using pyArrow or any tools which can work with the Apache Arrow ecosystem e.g. Pandas, Polars, Duckdb, Vaex etc.. If you are using poetry this will be taken care of ...
Compatible with pandas, DuckDB, Polars, and pyarrow with more integrations on the way. Documentation•Blog•Discord•Twitter Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: