feat: Add load_from_parquet and save_to_parquet methods to Signatures…

… class

siapy/entities/signatures.py

@@ -93,6 +93,11 @@ def from_dataframe(cls, dataframe: pd.DataFrame) -> "Signatures":
         signals = Signals(dataframe.drop(columns=[Pixels.coords.U, Pixels.coords.V]))
         return cls._create(pixels, signals)
 
+    @classmethod
+    def load_from_parquet(cls, filepath: str | Path) -> "Signatures":
+        df = pd.read_parquet(filepath)
+        return cls.from_dataframe(df)
+
     @property
     def pixels(self) -> Pixels:
         return self._pixels
@@ -109,3 +114,6 @@ def to_numpy(self) -> np.ndarray:
 
     def filter(self) -> SignaturesFilter:
         return SignaturesFilter(self.pixels, self.signals)
+
+    def save_to_parquet(self, filepath: str | Path) -> None:
+        self.to_dataframe().to_parquet(filepath, index=True)

tests/entities/test_entities_signatures.py

@@ -156,3 +156,15 @@ def test_signatures_from_dataframe():
 
     with pytest.raises(ValueError):
         Signatures.from_dataframe(df_missing_v)
+
+
+def test_signatures_save_and_load_to_parquet():
+    df = pd.DataFrame({"u": [0, 1], "v": [0, 1], "0": [1, 2], "1": [3, 4]})
+    signatures = Signatures.from_dataframe(df)
+    with TemporaryDirectory() as tmpdir:
+        parquet_file = Path(tmpdir, "test_signatures.parquet")
+        signatures.save_to_parquet(parquet_file)
+        assert os.path.exists(parquet_file)
+        loaded_signatures = Signatures.load_from_parquet(parquet_file)
+        assert isinstance(loaded_signatures, Signatures)
+        assert loaded_signatures.to_dataframe().equals(signatures.to_dataframe())