Using pandas mode() function
I’m struggling using mode() in pandas. I need to calculate the mode of each row, so I run:
Python: 3-sigma “anomaly” detector of order quantity and lines
I’m wanting to analyze transactional data from an e-commerce context, where the focus is on detecting atypical activities in order patterns. The data is grouped by a customer identifier, SoldTo, and for each group, we apply a straightforward statistical technique to detect anomalies based on the order quantities and line counts. Specifically, the steps involve: