##### How to groupby Months showing average order value - Pandas & matplotlib
 How to groupby Months showing average order value - Pandas & matplotlib Rwood90 Unladen Swallow Posts: 1 Threads: 1 Joined: Oct 2020 Reputation: Oct-20-2020, 12:53 PM (This post was last modified: Oct-20-2020, 01:11 PM by Rwood90.) hello, I am working with some data and would like to show the average order value (aov) for the different months. When I look at total revenue in the set period (£839736) and divide it by the total amount of transactions in that period (1232), it shows an average order value of £681. Is there a way this can be separated into individual months? As I know that the Average Order Value will be different for each month. Code is below: the dataframe is stored in a variable called ikdf. months = [month for month , df in ikdf.groupby('Month')] invs = ikdf.groupby('Invoice ID').sum() total_invs = len(invs) rev = ikdf['Total Value'].sum() aov = rev / total_invs plt.bar(months, aov) plt.xticks plt.ylabel('AOV per month') plt.xlabel('Months') plt.show()[/inline][/python] Sorry I cannot embed the output as an image into this box. The output shows an average order value of £681 for all months. Is there a way that I can separate this to show the different Average Order Values and how it varies each month? Reply

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