How can I perform advanced merging in Pandas using Jupyter Notebooks?

How can I perform advanced merging in Pandas using Jupyter Notebooks?

You can use the merge() function in Pandas to perform advanced merges. What specific type of merge are you looking to do?

I want to do a left join and also handle missing values.

You can use pd.merge(left_df, right_df, how='left', on='key_column') for a left join. To handle missing values, you can use fillna() after merging.

Can you show me an example with sample data?

Sure! Here's a quick example:

import pandas as pd

left_df = pd.DataFrame({'key': ['A', 'B', 'C'], 'value_left': [1, 2, 3]})
right_df = pd.DataFrame({'key': ['B', 'C', 'D'], 'value_right': [4, 5, 6]})

merged_df = pd.merge(left_df, right_df, how='left', on='key')
merged_df.fillna(0, inplace=True)
print(merged_df)