daft.DataFrame.sample#
- DataFrame.sample(fraction: float, with_replacement: bool = False, seed: Optional[int] = None) DataFrame[source]#
Samples a fraction of rows from the DataFrame
Example
>>> import daft >>> df = daft.from_pydict({"x": [1, 2, 3], "y": [4, 5, 6], "z": [7, 8, 9]}) >>> sampled_df = df.sample(0.5) >>> # Samples will vary from output to output >>> # here is a sample output >>> # ╭───────┬───────┬───────╮ >>> # │ x ┆ y ┆ z │ >>> # │ --- ┆ --- ┆ --- │ >>> # │ Int64 ┆ Int64 ┆ Int64 │ >>> # |═══════╪═══════╪═══════╡ >>> # │ 2 ┆ 5 ┆ 8 │ >>> # ├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┤ >>> # │ 3 ┆ 6 ┆ 9 │ >>> # ╰───────┴───────┴───────╯
- Parameters:
fraction (float) – fraction of rows to sample.
with_replacement (bool, optional) – whether to sample with replacement. Defaults to False.
seed (Optional[int], optional) – random seed. Defaults to None.
- Returns:
DataFrame with a fraction of rows.
- Return type: