/Python/Pandas groupby aggregate multiple columns

Pandas groupby aggregate multiple columns

grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']})
grouped_multiple.columns = ['age_mean', 'age_min', 'age_max']
grouped_multiple = grouped_multiple.reset_index()
print(grouped_multiple)

Source: jamesrledoux.com

Python group by multiple aggregates

def f(x):
    d = {}
    d['a_sum'] = x['a'].sum()
    d['a_max'] = x['a'].max()
    d['b_mean'] = x['b'].mean()
    d['c_d_prodsum'] = (x['c'] * x['d']).sum()
    return pd.Series(d, index=['a_sum', 'a_max', 'b_mean', 'c_d_prodsum'])

df.groupby('group').apply(f)

Source: stackoverflow.com

Python groupby sum single columns

df.groupby(['A','C'], as_index=False)['B'].sum()

Source: stackoverflow.com

Group by, aggregate multiple column -pandas

df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count'])

Source: stackoverflow.com

Pandas groupby multiple columns

df['COUNTER'] =1       #initially, set that counter to 1.
group_data = df.groupby(['Alphabet','Words'])['COUNTER'].sum() #sum function
print(group_data)

Source: stackoverflow.com

Similar codes

3 votes187 views2 answers
How to print last element in a list python
Python
1 vote183 views1 answer
What is Python's dynamic type system
Python
0 vote168 views1 answer
Exception Type: AssertionError Exception Value: Expected a `Response`, `HttpResponse` or `HttpStreamingResponse` to be returned from the view, but received a `<class 'django.db.models.query.QuerySet'>`
Python
0 vote179 views1 answer
Pandas not a time nat
Python
0 vote181 views1 answer
Install python-dev packages
Python
1 vote211 views1 answer
How to convert adjacency list to adjacency matrix
Python
0 vote146 views1 answer
Python fft frequency spectrum
Python
0 vote214 views1 answer
Django from
Python Django
11 votes253 views2 answers
How to send whatsapp message with python
Python
0 vote179 views1 answer
Open dicom images python
Python