How to use Pandas to find the strongest month of sale for a product
I don't have 50 reputation to add comment hence adding answer section. Some insight about your required solution would be great, because to me it's not clear about your requirement. BTW Coming to the idea, if your can split and load the time series data as the timestamp and demand then you can easily do it using regular python methods like max and then getting the time stamp value where the max demand occurred.
I am new to python pandas, and I am trying to find the strongest month within a given series of timestamped sales data. The question to answer for n products is: when is the demand for the given product the highest?
I am not looking for a complete solution but rather some ideas, how to approach this problem.
I already looked into seasonal_decomposition to get some sort of seasonality indication but I feel that this might be a bit too complicated of an approach.