What kind of plot will be helpful for total count group data ( data grouped by month and year )?

@shounakrockz47 wrote:

I have a group data frame like this :

group_by_region_year_month=train_data.groupby(['Region Name (GO)','Year','Month'],as_index=False)
    
    region_sum=group_by_region_year_month.agg({"AMV": "sum"})

Here , AMV is my target variable in regression ( this is count of total vehicles).

I have data for each day from 2000-3-17 to 2017-10-11.

I want to show the variation of the count for each year and each month for each Region.

How best can I plot it?

I tried using seaborn.FacetGrid in this way:

# g=sns.FacetGrid(row="Region Name (GO)", col="AMV", data=region_sum)

But it is taking too much time and at the end, it is throwing up error maximum image size reached or something like that.

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