I basically have a dataframe in pandas with a list of countries, but I want to classify each country by continent, and then by region. I want to add two more columns to the original dataframe.

import pandas as pd
import pandasql as psql
import matplotlib.pyplot as plt
import plotly.express as px
from pandasql import sqldf
pysqldf = lambda q: sqldf(q, globals())
suicide_df = pd.read_csv(r"C:UsersslayeDownloadssuicide_ratesmaster.csv")
display(suicide_df)```

    country year    sex age suicides_no population  suicides/100k pop   country-year    HDI for year    gdp_for_year ($)    gdp_per_capita ($)  generation
0   Albania 1987    male    15-24 years 21  312900  6.71    Albania1987 NaN 2,156,624,900   796 Generation X
1   Albania 1987    male    35-54 years 16  308000  5.19    Albania1987 NaN 2,156,624,900   796 Silent
2   Albania 1987    female  15-24 years 14  289700  4.83    Albania1987 NaN 2,156,624,900   796 Generation X
3   Albania 1987    male    75+ years   1   21800   4.59    Albania1987 NaN 2,156,624,900   796 G.I. Generation
4   Albania 1987    male    25-34 years 9   274300  3.28    Albania1987 NaN 2,156,624,900   796 Boomers
... ... ... ... ... ... ... ... ... ... ... ... ...
27815   Uzbekistan  2014    female  35-54 years 107 3620833 2.96    Uzbekistan2014  0.675   63,067,077,179  2309    Generation X
27816   Uzbekistan  2014    female  75+ years   9   348465  2.58    Uzbekistan2014  0.675   63,067,077,179  2309    Silent
27817   Uzbekistan  2014    male    5-14 years  60  2762158 2.17    Uzbekistan2014  0.675   63,067,077,179  2309    Generation Z
27818   Uzbekistan  2014    female  5-14 years  44  2631600 1.67    Uzbekistan2014  0.675   63,067,077,179  2309    Generation Z
27819   Uzbekistan  2014    female  55-74 years 21  1438935 1.46    Uzbekistan2014  0.675   63,067,077,179  2309    Boomers

for now I've been manually compiling nested dictionaries, but I'm wondering if there's a faster way to do this.

```regions = {'Asia': {'Central Asia', 'South Asia', 'East Asia', 'SouthEast Asia', 'West Asia', 'Middle East'},
          'Europe': {'Western Europe', 'Eastern Europe', 'Mediterranean', 'Nordic'},
           'North America': {'United States'}```

I apologize if this is a sloppy post, I don't know the formatting on stackoverflow.