Add property to extracted dataset as dataframe. Now time column is of datetime type to facilitate downstream procesing.

src/hdf5_ops.py

@@ -116,7 +116,7 @@ class HDF5DataOpsManager():
 
 
         
-        return None
+        return None, None
 
 
     
@@ -128,6 +128,8 @@ class HDF5DataOpsManager():
            raise RuntimeError("File object is not loaded. Please load the HDF5 file using the 'load_file_obj' method before attempting to extract datasets.")
 
         dataset_obj = self.file_obj[dataset_name]
+
+        datetime_var, datetime_format = self.infer_datetime_variable(dataset_name)
         # Read dataset content from dataset obj
         data = dataset_obj[...] 
         # The above statement can be understood as follows: 
@@ -136,6 +138,12 @@ class HDF5DataOpsManager():
         # dataset_obj.read_direct(data)
 
         try:
+            data = pd.DataFrame(data)
+
+            if datetime_var in data.columns:
+                data[datetime_var] = data[datetime_var].apply(lambda x : x.decode())
+                data[datetime_var] = pd.to_datetime(data[datetime_var],format=datetime_format,errors='coerce')
+
             return pd.DataFrame(data)
         except ValueError as e:
             logging.error(f"Failed to convert dataset '{dataset_name}' to DataFrame: {e}. Instead, dataset will be returned as Numpy array.")