You can use the drop_duplicates() method to remove duplicate rows based on all columns in a Pandas DataFrame.
Here's an example:
import pandas as pd
# Sample DataFrame
data = {'A': [1, 2, 2, 3, 4],
'B': ['X', 'Y', 'Y', 'Z', 'X']}
df = pd.DataFrame(data)
# Remove duplicate rows based on all columns
df_no_duplicates = df.drop_duplicates()
print(df_no_duplicates)