feat: Add load_from_parquet and save_to_parquet methods to Signals class

siapy/entities/signatures.py

@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from pathlib import Path
 from typing import Any
 
 import numpy as np
@@ -13,6 +14,11 @@
 class Signals:
     _data: pd.DataFrame
 
+    @classmethod
+    def load_from_parquet(cls, filepath: str | Path) -> "Signals":
+        df = pd.read_parquet(filepath)
+        return cls(df)
+
     @property
     def df(self) -> pd.DataFrame:
         return self._data
@@ -23,6 +29,9 @@ def to_numpy(self) -> np.ndarray:
     def mean(self) -> np.ndarray:
         return np.nanmean(self.to_numpy(), axis=0)
 
+    def save_to_parquet(self, filepath: str | Path) -> None:
+        self.df.to_parquet(filepath, index=True)
+
 
 @dataclass
 class SignaturesFilter:

tests/entities/test_entities_signatures.py

@@ -1,3 +1,7 @@
+import os
+from pathlib import Path
+from tempfile import TemporaryDirectory
+
 import numpy as np
 import pandas as pd
 import pytest
@@ -22,6 +26,18 @@ def test_signals_mean():
     assert signals_mean.shape == (4,)
 
 
+def test_signals_save_and_load_to_parquet():
+    signals_df = pd.DataFrame([[1, 2, 4, 6], [3, 4, 3, 5]])
+    signals = Signals(signals_df)
+    with TemporaryDirectory() as tmpdir:
+        parquet_file = Path(tmpdir, "test_signals.parquet")
+        signals.save_to_parquet(parquet_file)
+        assert os.path.exists(parquet_file)
+        loaded_signals = Signals.load_from_parquet(parquet_file)
+        assert isinstance(loaded_signals, Signals)
+        assert loaded_signals.df.equals(signals.df)
+
+
 def test_signatures_filter_create():
     pixels_df = pd.DataFrame({"u": [0, 1], "v": [0, 1]})
     signals_df = pd.DataFrame([[1, 2], [3, 4]])