polars.DataFrame.count

DataFrame.count() → DataFrame

Return the number of non-null elements for each column.

Examples

>>> df = pl.DataFrame(
...     {"a": [1, 2, 3, 4], "b": [1, 2, 1, None], "c": [None, None, None, None]}
... )
>>> df.count()
shape: (1, 3)
┌─────┬─────┬─────┐
│ a   ┆ b   ┆ c   │
│ --- ┆ --- ┆ --- │
│ u32 ┆ u32 ┆ u32 │
╞═════╪═════╪═════╡
│ 4   ┆ 3   ┆ 0   │
└─────┴─────┴─────┘