# foundryts.functions.skip\_nonfinite

## foundryts.functions.skip\_nonfinite()

Returns a function that filters all points with non-finite values in a time series.

Non-finite values can be `inf` or `NaN`.

* **Returns:**
  A function that accepts a single time series and returns the filtered time series with only finite point values.
* **Return type:**
  (`FunctionNode`) -> `FunctionNode`

## Dataframe schema

| Column name   | Type             | Description            |
|---------------|------------------|------------------------|
| timestamp     | pandas.Timestamp | Timestamp of the point |
| value         | float            | Value of the point     |

:::callout{theme="warning" title="Note"}
This function is only applicable to numeric series.
:::

:::callout{theme="success" title="See Also"}
[`where()`](../functions-where/index.md#foundryts.functions.where)
:::

## Examples

```pycon
>>> series = F.points(
...     (100, 100.0),
...     (120, float("nan")),
...     (130, 230.0),
...     (166, float("inf")),
...     (167, 366.0),
...     (168, float("-inf")),
...     name="series",
... )
>>> series.to_pandas()
                      timestamp  value
0 1970-01-01 00:00:00.000000100  100.0
1 1970-01-01 00:00:00.000000120    NaN
2 1970-01-01 00:00:00.000000130  230.0
3 1970-01-01 00:00:00.000000166    inf
4 1970-01-01 00:00:00.000000167  366.0
5 1970-01-01 00:00:00.000000168   -inf
```

```pycon
>>> finite_series = F.skip_nonfinite()(series)
>>> finite_series.to_pandas()
                      timestamp  value
0 1970-01-01 00:00:00.000000100  100.0
1 1970-01-01 00:00:00.000000130  230.0
2 1970-01-01 00:00:00.000000167  366.0
```