polars.DataFrame.sample¶
- DataFrame.sample(n: Optional[int] = None, frac: Optional[float] = None, with_replacement: bool = False, shuffle: bool = False, seed: Optional[int] = None) polars.internals.frame.DF¶
Sample from this DataFrame by setting either n or frac.
- Parameters
- n
Number of samples < self.len() .
- frac
Fraction between 0.0 and 1.0 .
- with_replacement
Sample with replacement.
- shuffle
Shuffle the order of sampled data points.
- seed
Initialization seed. If None is given a random seed is used.
Examples
>>> df = pl.DataFrame( ... { ... "foo": [1, 2, 3], ... "bar": [6, 7, 8], ... "ham": ["a", "b", "c"], ... } ... ) >>> df.sample(n=2, seed=0) shape: (2, 3) ┌─────┬─────┬─────┐ │ foo ┆ bar ┆ ham │ │ --- ┆ --- ┆ --- │ │ i64 ┆ i64 ┆ str │ ╞═════╪═════╪═════╡ │ 3 ┆ 8 ┆ c │ ├╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌┤ │ 2 ┆ 7 ┆ b │ └─────┴─────┴─────┘