I have a data frame with some personal information:
df = pd.DataFrame({'person':range(5), 'birth_year':range(1980, 1985)})
df
it looks like this:
birth_year person
0 1980 0
1 1981 1
2 1982 2
3 1983 3
4 1984 4
and another data frame with some yearly growth data:
growth = pd.DataFrame({'year':range(1980,2000),'growth_rate':np.random.randn(20)})
growth
so it would be like this:
growth_rate year
0 -0.474861 1980
1 -0.898530 1981
2 -0.730102 1982
3 -0.231560 1983
4 -0.023014 1984
...
now I want to add a new column in df, which is the growth rate of each person at the age of ten, so for person 0 it will be the year 1990, for person 2 it will be year 1991, etc.. and the growth rate data is from the data frame growth. the resulting data frame should be like this:
birth_year person growth_10
0 1980 0 value_1990
1 1981 1 value_1991
2 1982 2 value_1992
3 1983 3 value_1993
4 1984 4 value_1994
How can I manage this?
PS: the order of the columns seems to be alphabetically ordered, like birth_year before person, and growth_rate in front of year, not sure how to fix this..