Pandas, Data Science, Python, Data Analysis, Programming.
pl.read_csv('example.csv').filter( (pl.col('office') == 'France')) df_pl.select(pl.col(['id', 'date', 'office', 'sales'])) Running this test, Polars outperforms Pandas by a significant margin. Interestingly, the PyArrow engine doesn’t provide better results than the standard NumPy engine. Group By