I am having difficulty swapping two rows within a Pandas DataFrame and have not found a satisfactory solution yet. Although I have attempted using the
loc function, I am looking for alternative methods to swap rows efficiently. If you have any recommendations or insights to offer, please share them with me.
This method involves using the
locmethod to select the rows to be swapped and then swapping their positions using tuple unpacking.
To swap the first and second rows, I use the
locmethod to select the rows by their labels (
1) and assign them to a reversed copy of themselves using the
.valuesattribute. This effectively swaps the two rows in place.
The syntax for selecting rows using
labelcan be a single label or a list of labels.