pandas - select group from groupby(by=[group1, group2])

Question

I'm grouping dataframe by 2 groups native-country and salary , but output on hours-per-week is too large to find specific country.

df.groupby(by=['native-country', 'salary'])['hours-per-week']

How to select group by country name, eg 'Japan' ?

Answer 1

Why are you using a groupby at all if you're not trying to perform any aggregations/transformations? Just do:

df.query("'native-country' == 'Japan'")\
  .loc[:, ["native_country", "salary", "hours-per-week"]]

Answer 2

   newdf = ddf.groupby('country').**size()/all()/count()/...**

   result = newdf.filter(lambda x : True if x.country == 'japan' else False)lt

   print result