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python-pandasHow to aggregate (groupby) dataframe using count


import pandas as pd

data = pd.DataFrame({
  'Vendor': ['US', 'US', 'US', 'KR', 'KR'],
  'Phone': ['ip5', 'ip6', 'ip8', 'sms', 'xi'],
  'Phone Price': [204, 304, 404, 405, 305]
})

res = data.groupby(['Vendor']).count()ctrl + c
import pandas as pd

load Pandas module

pd.DataFrame

creates Pandas DataFrame object

.groupby(

groups given dataframe by list of columns

Vendor

column to group dataframe by

.count()

calculate number of rows for grouped values

res

will contain aggregated dataframe