Currently, I'm working with the COVID dataset to do some insights.
The dataset is of this form:
Country Province Lat Lon Date Cases Status
0 Thailand 15.0000 101.0000 2020-01-22 00:00:00+00:00 2 confirmed
1 Thailand 15.0000 101.0000 2020-01-23 00:00:00+00:00 3 confirmed
2 Thailand 15.0000 101.0000 2020-01-24 00:00:00+00:00 5 confirmed
3 Thailand 15.0000 101.0000 2020-01-25 00:00:00+00:00 7 confirmed
4 Thailand 15.0000 101.0000 2020-01-26 00:00:00+00:00 8 confirmed
I want to group by country, summing over the "Cases" column (we'll call this case sum column), but I run into a problem with latitude and longitude: I want to take the lat/long of the max of the case column. In other words, I would like the latitude and longitude from the row with the largest number of cases. To clarify, the use case is that a country like France has rows with multiple latitude and longitudes (like French Polynesia for example) but I just want to take the lat/long in the grouping from the area which has the most cases.
I currently am running an aggregation as follows:
nonzero_cases[(nonzero_cases['Date'] == "03/13/2020")].groupby("Country").agg({"Lat":"first","Lon":"first","Cases":"sum"})
This yields:
Country Lat Lon Cases
Afghanistan 33.0000 65.0000 7
Albania 41.1533 20.1683 33
Algeria 28.0339 1.6596 26
Andorra 42.5063 1.5218 1
...
But this is not quite what I want since it doesn't take into account the case numbers, and just picks the first Lat/Lon.
Add DataFrame.sort_values by column Cases, so now first values are rows with maximum of Cases per groups:
print (df)
Country Lat Lon Date Cases Status
0 Thailand 15.0 101.0 2020-01-22 00:00:00+00:00 2 confirmed
1 Thailand 15.0 101.0 2020-01-23 00:00:00+00:00 3 confirmed
2 Thailand 15.0 101.0 2020-01-24 00:00:00+00:00 5 confirmed
3 Thailand 15.0 101.0 2020-01-25 00:00:00+00:00 7 confirmed
4 Thailand 14.0 103.0 2020-01-26 00:00:00+00:00 8 confirmed <- changed data
df1 = (df.sort_values('Cases', ascending=False)
.groupby("Country")
.agg({"Lat":"first","Lon":"first","Cases":"sum"}))
print (df1)
Lat Lon Cases
Country
Thailand 14.0 103.0 25