feat: add type hint for _read_as_numpy() method

src/taipy/core/data/_abstract_sql.py

@@ -17,6 +17,7 @@
 from typing import Dict, List, Optional, Set
 
 import modin.pandas as modin_pd
+import numpy as np
 import pandas as pd
 from sqlalchemy import create_engine, text
 
@@ -214,7 +215,7 @@ def _read_as(self):
             query_result = connection.execute(text(self._get_read_query()))
         return list(map(lambda row: custom_class(**row), query_result))
 
-    def _read_as_numpy(self):
+    def _read_as_numpy(self) -> np.ndarray:
         return self._read_as_pandas_dataframe().to_numpy()
 
     def _read_as_pandas_dataframe(self, columns: Optional[List[str]] = None):

src/taipy/core/data/csv.py

@@ -16,6 +16,7 @@
 from typing import Any, Dict, List, Optional, Set
 
 import modin.pandas as modin_pd
+import numpy as np
 import pandas as pd
 
 from taipy.config.common.scope import Scope
@@ -188,7 +189,7 @@ def _read_as(self):
                     res.append(custom_class(*line))
             return res
 
-    def _read_as_numpy(self):
+    def _read_as_numpy(self) -> np.ndarray:
         return self._read_as_pandas_dataframe().to_numpy()
 
     def _read_as_pandas_dataframe(

src/taipy/core/data/parquet.py

@@ -15,6 +15,7 @@
 from typing import Any, Dict, List, Optional, Set
 
 import modin.pandas as modin_pd
+import numpy as np
 import pandas as pd
 
 from taipy.config.common.scope import Scope
@@ -210,7 +211,7 @@ def _read_as(self, read_kwargs: Dict):
         list_of_dicts = self._read_as_pandas_dataframe(read_kwargs).to_dict(orient="records")
         return [custom_class(**dct) for dct in list_of_dicts]
 
-    def _read_as_numpy(self, read_kwargs: Dict):
+    def _read_as_numpy(self, read_kwargs: Dict) -> np.ndarray:
         return self._read_as_pandas_dataframe(read_kwargs).to_numpy()
 
     def _read_as_pandas_dataframe(self, read_kwargs: Dict) -> pd.DataFrame: