To reshape a Pandas dataframe, you can use functions like pivot, melt, stack, unstack, and transpose. These functions allow you to restructure your data into a different format to meet your analysis or visualization needs. For example, you can pivot the dataframe to change the layout of the columns and rows, or use melt to transform wide data into long format. Reshaping the dataframe can help you organize and manipulate your data more efficiently for further analysis.