diff --git a/pysus/data/__init__.py b/pysus/data/__init__.py
index 48b2354..a4b852a 100644
--- a/pysus/data/__init__.py
+++ b/pysus/data/__init__.py
@@ -109,7 +109,8 @@ def dbf_to_parquet(dbf: str, _pbar=None) -> str:
                 _pbar.update(chunk_size)
 
             chunk_df = pd.DataFrame(chunk)
-            table = pa.Table.from_pandas(chunk_df.applymap(decode_column))
+            #breakpoint()
+            table = pa.Table.from_pandas(chunk_df.map(decode_column))
             pq.write_to_dataset(table, root_path=str(parquet))
     except struct.error as err:
         if _pbar:
@@ -135,7 +136,7 @@ def parse_dftypes(df: pd.DataFrame) -> pd.DataFrame:
     def map_column_func(column_names: list[str], func):
         # Maps a function to each value in each column
         columns = [c for c in df.columns if c in column_names]
-        df[columns] = df[columns].applymap(func)
+        df[columns] = df[columns].map(func)
 
     def str_to_int(string: str):
         # If removing spaces, all characters are int,
@@ -157,7 +158,7 @@ def str_to_date(string: str):
     map_column_func(["DT_NOTIFIC", "DT_SIN_PRI"], str_to_date)
     map_column_func(["CODMUNRES", "SEXO"], str_to_int)
 
-    df = df.applymap(
+    df = df.map(
         lambda x: "" if str(x).isspace() else x
     )  # Remove all space values
 
diff --git a/pysus/online_data/IBGE.py b/pysus/online_data/IBGE.py
index 6c9f30d..dbca55c 100644
--- a/pysus/online_data/IBGE.py
+++ b/pysus/online_data/IBGE.py
@@ -97,6 +97,12 @@ def get_sidra_table(
         query += f'/h/{headers}'
 
     url = base_url + query
+
+    #data = requests.get(url)
+    #jsondata = data.json()
+    #df = pd.DataFrame.from_dict(jsondata)
+    #breakpoint()
+
     print(f'Requesting data from {url}')
     try:
         with (get_legacy_session() as s, s.get(url) as response):
diff --git a/pysus/online_data/__init__.py b/pysus/online_data/__init__.py
index ce77259..a6da966 100644
--- a/pysus/online_data/__init__.py
+++ b/pysus/online_data/__init__.py
@@ -108,7 +108,7 @@ def _parse_dftypes(df: pd.DataFrame) -> pd.DataFrame:
     def map_column_func(column_names: list[str], func):
         # Maps a function to each value in each column
         columns = [c for c in df.columns if c in column_names]
-        df[columns] = df[columns].applymap(func)
+        df[columns] = df[columns].map(func)
 
     def str_to_int(string: str) -> Union[int, float]:
         # If removing spaces, all characters are int,
@@ -128,7 +128,7 @@ def str_to_date(string: str) -> datetime.date:
     map_column_func(["DT_NOTIFIC", "DT_SIN_PRI"], str_to_date)
     map_column_func(["CODMUNRES", "SEXO"], str_to_int)
 
-    df = df.applymap(
+    df = df.map(
         lambda x: "" if str(x).isspace() else x
     )  # Remove all space values
 
@@ -631,7 +631,7 @@ def decode_column(value):
         for d in self._stream_DBF(DBF(fpath, encoding="iso-8859-1", raw=True)):
             try:
                 df = pd.DataFrame(d)
-                table = pa.Table.from_pandas(df.applymap(decode_column))
+                table = pa.Table.from_pandas(df.map(decode_column))
                 pq.write_to_dataset(table, root_path=parquet_dir)
 
             except Exception as e: