diff --git a/examples/pandera_plugin/pandera_plugin/basic_schema_example.py b/examples/pandera_plugin/pandera_plugin/basic_schema_example.py
index 8c8d36b2a..adc164f4d 100644
--- a/examples/pandera_plugin/pandera_plugin/basic_schema_example.py
+++ b/examples/pandera_plugin/pandera_plugin/basic_schema_example.py
@@ -15,7 +15,7 @@
 from flytekit import ImageSpec, task, workflow
 from pandera.typing import DataFrame, Series
 
-custom_image = ImageSpec(registry="ghcr.io/flyteorg", packages=["flytekitplugins-pandera", "scikit-learn"])
+custom_image = ImageSpec(registry="ghcr.io/flyteorg", packages=["flytekitplugins-pandera", "scikit-learn", "pyarrow"])
 
 # %% [markdown]
 # ## A Simple Data Processing Pipeline
diff --git a/examples/pandera_plugin/pandera_plugin/validating_and_testing_ml_pipelines.py b/examples/pandera_plugin/pandera_plugin/validating_and_testing_ml_pipelines.py
index 85fdef648..2cb649312 100644
--- a/examples/pandera_plugin/pandera_plugin/validating_and_testing_ml_pipelines.py
+++ b/examples/pandera_plugin/pandera_plugin/validating_and_testing_ml_pipelines.py
@@ -52,7 +52,7 @@
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.metrics import accuracy_score
 
-custom_image = ImageSpec(registry="ghcr.io/flyteorg", packages=["flytekitplugins-pandera", "scikit-learn"])
+custom_image = ImageSpec(registry="ghcr.io/flyteorg", packages=["flytekitplugins-pandera", "scikit-learn", "pyarrow"])
 
 # %% [markdown]
 # We also need to import the `pandera` flytekit plugin to enable dataframe runtime type-checking: