polars.DataFrame.is_empty#

DataFrame.is_empty() bool[source]#

Returns True if the DataFrame contains no rows.

Examples

>>> df = pl.DataFrame({"foo": [1, 2, 3], "bar": [4, 5, 6]})
>>> df.is_empty()
False
>>> df.filter(pl.col("foo") > 99).is_empty()
True