has_no_infs

has_no_infs(data, columns=None)

Check if a DataFrame has any infinite (inf) values.

Parameters

data: PolarsLazyOrDataFrame

The input DataFrame to check for null values.

columns: Optional[PolarsColumnType] = None

Columns to consider for null value check. By default, all columns are checked.

Returns

Name	Type	Description
	PolarsLazyOrDataFrame	The original polars DataFrame or LazyFrame when the check passes

Examples

>>> import polars as pl
>>> import pelage as plg
>>> df = pl.DataFrame(
...     {
...         "a": [1, 2],
...         "b": [1.0, float("inf")],
...     }
... )
>>> plg.has_no_infs(df)
Traceback (most recent call last):
  ...
pelage.types.PolarsAssertError: Details
shape: (1, 2)
┌─────┬─────┐
│ a   ┆ b   │
│ --- ┆ --- │
│ i64 ┆ f64 │
╞═════╪═════╡
│ 2   ┆ inf │
└─────┴─────┘
Error with the DataFrame passed to the check function:
--> The were unexpeted infinites in the dataframe. See above.

>>> plg.has_no_infs(df, ["a"])  # or  plg.has_no_infs(df, "a")
shape: (2, 2)
┌─────┬─────┐
│ a   ┆ b   │
│ --- ┆ --- │
│ i64 ┆ f64 │
╞═════╪═════╡
│ 1   ┆ 1.0 │
│ 2   ┆ inf │
└─────┴─────┘