diff --git a/pyerrors/input/pandas.py b/pyerrors/input/pandas.py
index b3a2d3ef..67bd9bbd 100644
--- a/pyerrors/input/pandas.py
+++ b/pyerrors/input/pandas.py
@@ -2,6 +2,7 @@ import warnings
 import gzip
 import pandas as pd
 from ..obs import Obs
+from ..correlators import Corr
 from .json import create_json_string, import_json_string
 
 
@@ -23,7 +24,7 @@ def dump_df(df, fname, gz=True):
 
     out = df.copy()
     for column in out:
-        if isinstance(out[column][0], Obs):
+        if isinstance(out[column][0], (Obs, Corr)):
             out[column] = out[column].transform(lambda x: create_json_string(x, indent=0))
 
     if not fname.endswith('.csv'):
@@ -67,6 +68,6 @@ def load_df(fname, auto_gamma=False, gz=True):
             if re_import[column][0][:20] == '{"program":"pyerrors':
                 re_import[column] = re_import[column].transform(lambda x: import_json_string(x, verbose=False))
                 if auto_gamma is True:
-                    re_import[column].apply(Obs.gamma_method)
+                    re_import[column].apply(lambda x: x.gamma_method())
 
     return re_import
diff --git a/tests/pandas_test.py b/tests/pandas_test.py
index d4833656..658f4375 100644
--- a/tests/pandas_test.py
+++ b/tests/pandas_test.py
@@ -17,3 +17,14 @@ def test_df_export_import(tmp_path):
         pe.input.pandas.load_df((tmp_path / 'df_output.csv').as_posix(), gz=gz)
 
 
+def test_df_Corr(tmp_path):
+
+    my_corr = pe.Corr([pe.pseudo_Obs(-0.48, 0.04, "test"), pe.pseudo_Obs(-0.154, 0.03, "test")])
+
+    my_dict = {"int": 1,
+           "float": -0.01,
+           "Corr": my_corr}
+    my_df = pd.DataFrame([my_dict] * 5)
+
+    pe.input.pandas.dump_df(my_df, (tmp_path / 'df_output').as_posix())
+    reconstructed_df = pe.input.pandas.load_df((tmp_path / 'df_output').as_posix(), auto_gamma=True)