How will the resultant table be when you merge two tables that match on a column, and the second table has many repeated keys?

Question

Accepted Answer

The resultant table will have all the columns from both tables and the rows will be a combination of matching rows.

The resultant table will have all the columns from both tables
The rows in the resultant table will be a combination of matching rows
If the second table has repeated keys, there will be multiple rows with the same key in the resultant table

Accepted Answer

When you "merge" two tables in pandas, it will combine the rows of the two tables where the values in the specified column match. If the second table has many of the keys repeated, then the resulting merged table will have multiple rows with the same key and corresponding values from the second table.

For example, if you have two tables, table1 and table2, and you want to merge them on the column 'key', where table2 has multiple rows with the same 'key' value, the resulting merged table will contain all the rows of table1 with the corresponding values from table2 for each matching key.

How will the resultant table be when you merge two tables that match on a column, and the second table has many repeated keys?

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