Replace deprecated DataFrame.applymap() with map()

cdisc_rules_engine/services/data_readers/dataset_json_reader.py

@@ -36,7 +36,7 @@ def _raw_dataset_from_file(self, file_path) -> pd.DataFrame:
             [item for item in datasetjson.get("rows", [])],
             columns=[item["name"] for item in datasetjson.get("columns", [])],
         )
-        return df.applymap(lambda x: round(x, 15) if isinstance(x, float) else x)
+        return df.map(lambda x: round(x, 15) if isinstance(x, float) else x)
 
     def from_file(self, file_path):
         try:

cdisc_rules_engine/services/data_readers/dataset_ndjson_reader.py

@@ -45,7 +45,7 @@ def _raw_dataset_from_file(self, file_path) -> pd.DataFrame:
             [item for item in datandjson],
             columns=[item["name"] for item in metadatandjson.get("columns", [])],
         )
-        return df.applymap(lambda x: round(x, 15) if isinstance(x, float) else x)
+        return df.map(lambda x: round(x, 15) if isinstance(x, float) else x)
 
     def from_file(self, file_path):
         try:

cdisc_rules_engine/services/data_readers/parquet_reader.py

@@ -32,7 +32,7 @@ def from_file(self, file_path):
     def _format_floats(
         self, dataframe: Union[pd.DataFrame, dd.DataFrame]
     ) -> Union[pd.DataFrame, dd.DataFrame]:
-        return dataframe.applymap(lambda x: round(x, 15) if isinstance(x, float) else x)
+        return dataframe.map(lambda x: round(x, 15) if isinstance(x, float) else x)
 
     def _read_dask(self, file_path):
         data = dd.read_parquet(file_path)

cdisc_rules_engine/services/data_readers/xpt_reader.py

@@ -50,4 +50,4 @@ def from_file(self, file_path):
         return self._read_pandas(file_path)
 
     def _format_floats(self, dataframe: pd.DataFrame) -> pd.DataFrame:
-        return dataframe.applymap(lambda x: round(x, 15) if isinstance(x, float) else x)
+        return dataframe.map(lambda x: round(x, 15) if isinstance(x, float) else x)

cdisc_rules_engine/services/data_services/dummy_data_service.py

@@ -62,7 +62,7 @@ def get_dataset(self, dataset_name: str, **params) -> PandasDataset:
         dataset: Optional[DummyDataset] = self.get_dataset_data(dataset_name)
         if dataset is not None:
             df: pd.DataFrame = dataset.data
-            df = df.applymap(lambda x: x.decode("utf-8") if isinstance(x, bytes) else x)
+            df = df.map(lambda x: x.decode("utf-8") if isinstance(x, bytes) else x)
             result = PandasDataset(df)
             return result
         else: