diff --git a/setup.py b/setup.py
index c438286..1bdd079 100644
--- a/setup.py
+++ b/setup.py
@@ -15,7 +15,7 @@ except ImportError:
 import versioneer
 
 
-TEST_REQUIRES = ['pytest', 'coverage', 'pytest-cov', 'pymongo']
+TEST_REQUIRES = ['pytest', 'coverage', 'pytest-cov', 'pymongo', 'pandas']
 
 README_RST = ''
 with open('README.rst') as f:
diff --git a/tests/test_mongo_core.py b/tests/test_mongo_core.py
index 88024ad..b6fd845 100644
--- a/tests/test_mongo_core.py
+++ b/tests/test_mongo_core.py
@@ -14,6 +14,8 @@ except ImportError:  # python 2
 
 import pytest
 import pymongo
+import hashlib
+import pandas as pd
 from pymongo.mongo_client import MongoClient
 from pymongo.errors import OperationFailure
 
@@ -233,3 +235,35 @@ def test_stalled_mong_db_core(monkeypatch):
 
     res = _stalled_func_2()
     assert res == 2
+
+
+def test_callable_hash_param():
+
+    def _hash_params(args, kwargs):
+        def _hash(obj):
+            if isinstance(obj, pd.core.frame.DataFrame):
+                return hashlib.sha256(pd.util.hash_pandas_object(obj).values.tobytes()).hexdigest()
+            return obj
+
+        k_args = tuple(map(_hash, args))
+        k_kwargs = tuple(sorted({k: _hash(v) for k, v in kwargs.items()}.items()))
+        return k_args + k_kwargs
+
+    @cachier(mongetter=_test_mongetter, hash_params=_hash_params)
+    def _params_with_dataframe(*args, **kwargs):
+        """Some function."""
+        return random()
+
+    _params_with_dataframe.clear_cache()
+
+    df_a = pd.DataFrame.from_dict(dict(a=[0], b=[2], c=[3]))
+    df_b = pd.DataFrame.from_dict(dict(a=[0], b=[2], c=[3]))
+    value_a = _params_with_dataframe(df_a, 1)
+    value_b = _params_with_dataframe(df_b, 1)
+
+    assert value_a == value_b  # same content --> same key
+
+    value_a = _params_with_dataframe(1, df=df_a)
+    value_b = _params_with_dataframe(1, df=df_b)
+
+    assert value_a == value_b  # same content --> same key
diff --git a/tests/test_pickle_core.py b/tests/test_pickle_core.py
index 0fef615..abf2591 100644
--- a/tests/test_pickle_core.py
+++ b/tests/test_pickle_core.py
@@ -24,6 +24,9 @@ try:
 except ImportError:  # python 2
     import Queue as queue
 
+import hashlib
+import pandas as pd
+
 from cachier import cachier
 from cachier.pickle_core import DEF_CACHIER_DIR
 
@@ -392,3 +395,35 @@ def test_pickle_core_custom_cache_dir():
     assert end - start < 1
     _takes_5_seconds_custom_dir.clear_cache()
     assert _takes_5_seconds_custom_dir.cache_dpath() == EXPANDED_CUSTOM_DIR
+
+
+def test_callable_hash_param():
+
+    def _hash_params(args, kwargs):
+        def _hash(obj):
+            if isinstance(obj, pd.core.frame.DataFrame):
+                return hashlib.sha256(pd.util.hash_pandas_object(obj).values.tobytes()).hexdigest()
+            return obj
+
+        k_args = tuple(map(_hash, args))
+        k_kwargs = tuple(sorted({k: _hash(v) for k, v in kwargs.items()}.items()))
+        return k_args + k_kwargs
+
+    @cachier(hash_params=_hash_params)
+    def _params_with_dataframe(*args, **kwargs):
+        """Some function."""
+        return random()
+
+    _params_with_dataframe.clear_cache()
+
+    df_a = pd.DataFrame.from_dict(dict(a=[0], b=[2], c=[3]))
+    df_b = pd.DataFrame.from_dict(dict(a=[0], b=[2], c=[3]))
+    value_a = _params_with_dataframe(df_a, 1)
+    value_b = _params_with_dataframe(df_b, 1)
+
+    assert value_a == value_b  # same content --> same key
+
+    value_a = _params_with_dataframe(1, df=df_a)
+    value_b = _params_with_dataframe(1, df=df_b)
+
+    assert value_a == value_b  # same content --> same key