add genesis parse code for regio, too, for the moment.

src/pystatis/table.py

@@ -125,4 +125,20 @@ def parse_zensus_table(data: pd.DataFrame) -> pd.DataFrame:
     @staticmethod
     def parse_regio_table(data: pd.DataFrame) -> pd.DataFrame:
         """Parse Regionalstatistik table ffcsv format into a more readable format"""
-        pass
+        # Extracts time column with name from first element of Zeit_Label column
+        time = pd.DataFrame({data["Zeit_Label"].iloc[0]: data["Zeit"]})
+
+        # Extracts new column names from first values of the Merkmal_Label columns
+        # and assigns these to the relevant attribute columns (Auspraegung_Label)
+        attributes = data.filter(like="Auspraegung_Label")
+        attributes.columns = data.filter(like="Merkmal_Label").iloc[0].tolist()
+
+        # Selects all columns containing the values
+        values = data.filter(like="__")
+
+        # Given a name like BEV036__Bevoelkerung_in_Hauptwohnsitzhaushalten__1000
+        # extracts the readable label and omit both the code and the unit
+        values.columns = [name.split("__")[1] for name in values.columns]
+
+        pretty_data = pd.concat([time, attributes, values], axis=1)
+        return pretty_data