Memory-efficient filtering of `DataFrame` rows

Question

I have a large DataFrame object (1,440,000,000 rows). I operate at memory (swap includet) limit.

I need to extract a subset of the rows with certain value o

Answer 1

Use query, it should be a bit faster:

df = df.query("field == value")