diff --git a/CHANGELOG.md b/CHANGELOG.md
index e7e302b..aa4bdf2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,9 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
 ## [Unreleased]
+## [0.18.1] - 2020-06-17
+### Fixed
+- Fix binned_dataframe.explode for object-level and non-initial data chunks, PR #125
 
 ## [0.18.0] - 2020-06-17
 ### Added
diff --git a/fast_carpenter/summary/binned_dataframe.py b/fast_carpenter/summary/binned_dataframe.py
index dbbae03..52ddada 100644
--- a/fast_carpenter/summary/binned_dataframe.py
+++ b/fast_carpenter/summary/binned_dataframe.py
@@ -293,7 +293,7 @@ def explode(df):
     # get the list columns
     lst_cols = [col for col, dtype in df.dtypes.items() if is_object_dtype(dtype)]
     # Be more specific about which objects are ok
-    lst_cols = [col for col in lst_cols if isinstance(df[col][0], _explodable_types)]
+    lst_cols = [col for col in lst_cols if isinstance(df[col].iloc[0], _explodable_types)]
     if not lst_cols:
         return df
 
diff --git a/fast_carpenter/version.py b/fast_carpenter/version.py
index 9b3e502..bf9c070 100644
--- a/fast_carpenter/version.py
+++ b/fast_carpenter/version.py
@@ -12,5 +12,5 @@ def split_version(version):
     return tuple(result)
 
 
-__version__ = '0.18.0'
+__version__ = '0.18.1'
 version_info = split_version(__version__) # noqa
diff --git a/setup.cfg b/setup.cfg
index 5e2cde9..db5d1a5 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.18.0
+current_version = 0.18.1
 commit = True
 tag = False
 
diff --git a/tests/summary/test_binned_dataframe.py b/tests/summary/test_binned_dataframe.py
index e7d800a..50769a3 100644
--- a/tests/summary/test_binned_dataframe.py
+++ b/tests/summary/test_binned_dataframe.py
@@ -261,6 +261,11 @@ def test_explode():
     exploded = bdf.explode(pd.DataFrame(columns=["one", "two", "3"]))
     assert exploded.empty is True
 
+    df.index = np.arange(len(df)) + 100
+    exploded = bdf.explode(df)
+    assert len(exploded) == 1 + 8 + 3
+    assert np.array_equal(exploded.list, [0, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2])
+
 
 def test_densify_dataframe_integers():
     index = [("one", 1), ("one", 3), ("two", 2), ("three", 1), ("three", 2)]