refactor: remove TabularFilter base class (#243)

## Description
The tabular filters previously inherited from an independent
`TabularFilter` base class. This PR changes the code so that all tabular
filters now inherit from the regular `Filter` base class instead.

***As a contributor to the Anemoi framework, please ensure that your
changes include unit tests, updates to any affected dependencies and
documentation, and have been tested in a parallel setting (i.e., with
multiple GPUs). As a reviewer, you are also responsible for verifying
these aspects and requesting changes if they are not adequately
addressed. For guidelines about those please refer to
https://anemoi.readthedocs.io/en/latest/***

By opening this pull request, I affirm that all authors agree to the
[Contributor License
Agreement.](https://github.com/ecmwf/codex/blob/main/Legal/contributor_license_agreement.md)

Author: aaron-hopkinson

src/anemoi/transform/filters/tabular/__init__.py

@@ -6,29 +6,12 @@
 # In applying this licence, ECMWF does not waive the privileges and immunities
 # granted to it by virtue of its status as an intergovernmental organisation
 # nor does it submit to any jurisdiction.
-from abc import ABC
-from abc import abstractmethod
-
-import pandas as pd
 from anemoi.utils.registry import Registry
 
 filter_registry = Registry(__name__)
 
-__all__ = ["create_filter", "filter_registry", "TabularFilter"]
+__all__ = ["create_filter", "filter_registry"]
 
 
 def create_filter(name: str, **kwargs):
     return filter_registry.create(name, **kwargs)
-
-
-class TabularFilter(ABC):
-    def __repr__(self):
-        dict_str = ", ".join(f"{k}={v!r}" for k, v in self.__dict__.items())
-        return f"{self.__class__.__name__}({dict_str})"
-
-    def __call__(self, df: pd.DataFrame) -> pd.DataFrame:
-        return self.forward(df)
-
-    @abstractmethod
-    def forward(self, df: pd.DataFrame) -> pd.DataFrame:
-        raise NotImplementedError()

src/anemoi/transform/filters/tabular/add_azimuth.py

@@ -10,14 +10,14 @@
 
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 from anemoi.transform.filters.tabular.support.sat_view_angles import calc_azimuth
 from anemoi.transform.filters.tabular.support.utils import raise_if_df_missing_cols
 
 
 @filter_registry.register("add_azimuth")
-class AddAzimuth(TabularFilter):
+class AddAzimuth(Filter):
     """Adds a column to the DataFrame containing the viewing azimuth angle
     calculated from the latitude, longitude and the spacecraft latitude,
     spacecraft longitude.

src/anemoi/transform/filters/tabular/add_forcings.py

@@ -11,13 +11,13 @@
 import numpy as np
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 from anemoi.transform.filters.tabular.support.compute_forcings import cos_solar_zenith_angle
 
 
 @filter_registry.register("add_forcings")
-class AddForcings(TabularFilter):
+class AddForcings(Filter):
     """Adds forcings columns to the DataFrame.
 
     The configuration should be a dictionary with the key 'columns' containing

src/anemoi/transform/filters/tabular/add_healpix.py

@@ -11,12 +11,12 @@
 import healpy as hp
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 
 
 @filter_registry.register("add_healpix")
-class AddHealpix(TabularFilter):
+class AddHealpix(Filter):
     """Add a healpix index column 'healpix_idx_{nside}' to the DataFrame.
 
     The configuration key `nside` is an integer representing the number of

src/anemoi/transform/filters/tabular/add_msg_angles.py

@@ -12,15 +12,15 @@
 
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 from anemoi.transform.filters.tabular.support.sat_view_angles import calc_azimuth
 from anemoi.transform.filters.tabular.support.sat_view_angles import calc_zenith
 from anemoi.transform.filters.tabular.support.sat_view_angles import get_meteosat_loc
 
 
 @filter_registry.register("add_msg_angles")
-class AddMSGAngles(TabularFilter):
+class AddMSGAngles(Filter):
     """Adds columns representing the Meteosat angles to the DataFrame which are
     calculated from the sub-satellite latitude, longitude and observed latitude,
     longitude.

src/anemoi/transform/filters/tabular/apply_column_transformations.py

@@ -11,7 +11,7 @@
 import numpy as np
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 
 
@@ -65,7 +65,7 @@ def apply(self, df: pd.DataFrame) -> None:
 
 
 @filter_registry.register("apply_column_transformations")
-class ApplyColumnTransformations(TabularFilter):
+class ApplyColumnTransformations(Filter):
     """Apply mathematical transformations to DataFrame columns (including
     multiple columns).
 

src/anemoi/transform/filters/tabular/assign_to_grid.py

@@ -11,12 +11,12 @@
 import pandas as pd
 from scipy.spatial import cKDTree
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 
 
 @filter_registry.register("assign_to_grid")
-class AssignToGrid(TabularFilter):
+class AssignToGrid(Filter):
     """Adds a new column ('grid_index_{grid}') to the DataFrame which represents
     the index of the nearest grid point, based on the latitude/longitude
     coordinates.

src/anemoi/transform/filters/tabular/clip.py

@@ -12,13 +12,13 @@
 
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 from anemoi.transform.filters.tabular.support.utils import raise_if_df_missing_cols
 
 
 @filter_registry.register("clip")
-class Clip(TabularFilter):
+class Clip(Filter):
     """Clips columns of a DataFrame to the specified range.
 
     The configuration should be a dictionary of column names and clip ranges,

src/anemoi/transform/filters/tabular/drop.py

@@ -10,13 +10,13 @@
 
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 from anemoi.transform.filters.tabular.support.utils import raise_if_df_missing_cols
 
 
 @filter_registry.register("drop")
-class Drop(TabularFilter):
+class Drop(Filter):
     """Drop one or more columns from a DataFrame.
 
     The configuration should be a dictionary with the key 'columns' containing

src/anemoi/transform/filters/tabular/drop_duplicates.py

@@ -10,13 +10,13 @@
 
 import pandas as pd
 
-from anemoi.transform.filters.tabular import TabularFilter
+from anemoi.transform.filter import Filter
 from anemoi.transform.filters.tabular import filter_registry
 from anemoi.transform.filters.tabular.support.utils import raise_if_df_missing_cols
 
 
 @filter_registry.register("drop_duplicates")
-class DropDuplicates(TabularFilter):
+class DropDuplicates(Filter):
     """Drop duplicate rows from a DataFrame.
 
     The configuration can contain either a list of column names to be