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Introduction
Merging DataFrames in Pandas is a powerful tool for combining and manipulating data from different sources. This guide provides a comprehensive overview of the basic types of joins and their applications.
Types of Joins
1. INNER JOIN (default)
Example:
left.merge(right, on='key')
2. LEFT OUTER JOIN
Example:
left.merge(right, on='key', how='left')
3. RIGHT OUTER JOIN
Example:
left.merge(right, on='key', how='right')
4. FULL OUTER JOIN
Example:
left.merge(right, on='key', how='outer')
Other Join Variations
1. LEFT-Excluding JOIN
2. RIGHT-Excluding JOIN
3. ANTI JOIN (Excluding on Either Side)
Handling Different Key Column Names
Avoiding Duplicate Key Columns in Output
Merging Single Column from One DataFrame
Merging on Multiple Columns
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