polars.from_repr#
- polars.from_repr(tbl: str) DataFrame | Series [source]#
Utility function that reconstructs a DataFrame or Series from the object’s repr.
- Parameters:
- tbl
A string containing a polars DataFrame or Series repr; does not need to be trimmed of whitespace (or leading prompts) as the repr will be found/extracted automatically.
Notes
This function handles the default UTF8_FULL and UTF8_FULL_CONDENSED DataFrame tables (with or without rounded corners). Truncated columns/rows are omitted, wrapped headers are accounted for, and dtypes automatically identified.
Currently compound/nested dtypes such as List and Struct are not supported; neither are Object dtypes.
Examples
From DataFrame table repr:
>>> df = pl.from_repr( ... ''' ... Out[3]: ... shape: (1, 5) ... ┌───────────┬────────────┬───┬───────┬────────────────────────────────┐ ... │ source_ac ┆ source_cha ┆ … ┆ ident ┆ timestamp │ ... │ tor_id ┆ nnel_id ┆ ┆ --- ┆ --- │ ... │ --- ┆ --- ┆ ┆ str ┆ datetime[μs, Asia/Tokyo] │ ... │ i32 ┆ i64 ┆ ┆ ┆ │ ... ╞═══════════╪════════════╪═══╪═══════╪════════════════════════════════╡ ... │ 123456780 ┆ 9876543210 ┆ … ┆ a:b:c ┆ 2023-03-25 10:56:59.663053 JST │ ... │ … ┆ … ┆ … ┆ … ┆ … │ ... │ 803065983 ┆ 2055938745 ┆ … ┆ x:y:z ┆ 2023-03-25 12:38:18.050545 JST │ ... └───────────┴────────────┴───┴───────┴────────────────────────────────┘ ... ''' ... ) >>> df shape: (2, 4) ┌─────────────────┬───────────────────┬───────┬────────────────────────────────┐ │ source_actor_id ┆ source_channel_id ┆ ident ┆ timestamp │ │ --- ┆ --- ┆ --- ┆ --- │ │ i32 ┆ i64 ┆ str ┆ datetime[μs, Asia/Tokyo] │ ╞═════════════════╪═══════════════════╪═══════╪════════════════════════════════╡ │ 123456780 ┆ 9876543210 ┆ a:b:c ┆ 2023-03-25 10:56:59.663053 JST │ │ 803065983 ┆ 2055938745 ┆ x:y:z ┆ 2023-03-25 12:38:18.050545 JST │ └─────────────────┴───────────────────┴───────┴────────────────────────────────┘
From Series repr:
>>> s = pl.from_repr( ... ''' ... shape: (3,) ... Series: 's' [bool] ... [ ... true ... false ... true ... ] ... ''' ... ) >>> s.to_list() [True, False, True]