You can specify the subset of columns to consider when removing duplicates using the subset parameter in the drop_duplicates() method.
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 column 'A'
df_no_duplicates = df.drop_duplicates(subset=['A'])
print(df_no_duplicates)