Pandas: group by and Pivot table difference
It's more appropriate to use .pivot_table() instead of .groupby() when you need to show aggregates with both rows and column labels.
.pivot_table() makes it easy to create row and column labels at the same time and is preferable, even though you can get similar results using .groupby() with few extra steps.
I just started learning Pandas and was wondering if there is any difference between groupby() and pivot_table() functions. Can anyone help me understand the difference between them.
Help would be appreciated.