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- ▼Pandas DataFrame Reshaping, sorting, transposing
- DataFrame.droplevel[]
- DataFrame.pivot[]
- DataFrame.pivot_table[]
- DataFrame.sort_values[]
- DataFrame.nlargest[]
- DataFrame.nsmallest[]
- DataFrame.stack[]
- DataFrame.unstack[]
- DataFrame.melt[]
- DataFrame.explode[]
- DataFrame.squeeze[]
- DataFrame.T[]
- DataFrame.transpose[]
- ..More to come..
The transpose[] function is used to transpose index and columns. Reflect the DataFrame over its main diagonal by writing rows as columns and vice-versa. Syntax:DataFrame - transpose[] function
DataFrame.transpose[self, *args, **kwargs]
Parameters:
| copy | If True, the underlying data is copied. Otherwise [default], no copy is made if possible. | bool Default Value: False | Required |
| *args, **kwargs | Additional keywords have no effect but might be accepted for compatibility with numpy. | Required |
Returns: DataFrame
The transposed DataFrame.
Example:
Download the Pandas DataFrame Notebooks from here.
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