> ## Documentation Index
> Fetch the complete documentation index at: https://docs.orbitra.atomo.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# filter

# `orbitra.lake.models.filter`

## Classes

### `Filter`

Represents a filter for a column in a table.

**Attributes:**

* `column`: The name of the column to filter on.
* `value`:
  The value to filter the column by. If the operation is "in", the value must be a list, otherwise it must be a single value.
* `op`: The operation to apply for filtering.

**Methods:**

#### `check_value_type`

```python theme={null}
check_value_type(self) -> Self
```

Check the type of the value based on the operation.

If the operation is "in", the value must be a list, otherwise it must be a single value.

#### `get_pyiceberg_filter_expression`

```python theme={null}
get_pyiceberg_filter_expression(self) -> LiteralPredicate
```

Convert the filter to a PyIceberg filter expression.

**Returns:**

* A PyIceberg filter expression corresponding to the filter.

### `PartitionFilter`

Represents a filter for a partition column in a table.

**Attributes:**

* `column`: The name of the partition column to filter on.
* `value`:
  The value to filter the partition column by. If the operation is "in", the value must be a list, otherwise it must be a single value.
* `op`: The operation to apply for filtering.