import pandas as pd

# Sample DataFrames
df1 = pd.DataFrame({'A': [1, 2, 3, 4],
                    'B': ['a', 'b', 'c', 'd']})

df2 = pd.DataFrame({'A': [3, 4, 5, 6],
                    'B': ['c', 'd', 'e', 'f']})

# Find uncommon elements
uncommon_df = pd.concat([df1, df2, df2]).drop_duplicates(keep=False)

# Display the resulting DataFrame
print(uncommon_df)