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Pandas Set Index
Create index (row label) from existing column or columns.
You can specify a single column or a comma-separated list of column labels in column_names.
If drop=True, the specified columns are removed from column labels and become the index.
If drop=False, the columns remain in the DataFrame column labels while also being used as the index.
If append=True, the new index is added alongside the existing index.
Below screenshots illustrate these options:
This class internally calls pandas.DataFrame.set_index().
Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| column_names | String |
| drop | Boolean |
| append | Boolean |
Output
| Data type |
|---|
| DataFrame |
Category: Transformation
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