H2OFrame in Python is adding additional duplicate rows to the Pandas DataFrame

When converting a Pandas dataframe to a H2o frame using the h2o.H2OFrame() function an error is occuring.

Additional rows are being created in the H2o Frame. When I looked into this, it appears the new rows are duplicates of other rows. Depending on the data size the number of duplicate rows added varies, but typically around 2-10.

Code:

train_h2o = h2o.H2OFrame(python_obj=train_df_complete)

print(train_df_complete.shape[0])
print(train_h2o.nrow)

Output:

3871998
3872000