pandas groupby

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showing results for - "pandas groupby"
Daniel
29 Jan 2020
1df = pd.DataFrame(old_df.groupby(['groupby_attribute'])['mean_attribute'].mean())
2df = df.reset_index()
3df
source
Crystal
19 Jun 2017
1>>> n_by_state = df.groupby("state")["state"].count()
2>>> n_by_state.head(10)
3state
4AK     16
5AL    206
6AR    117
7AS      2
8AZ     48
9CA    361
10CO     90
11CT    240
12DC      2
13DE     97
14Name: last_name, dtype: int64
15
source
Margaux
06 Nov 2016
1>>> df = pd.DataFrame({'Animal': ['Falcon', 'Falcon',
2...                               'Parrot', 'Parrot'],
3...                    'Max Speed': [380., 370., 24., 26.]})
4>>> df
5   Animal  Max Speed
60  Falcon      380.0
71  Falcon      370.0
82  Parrot       24.0
93  Parrot       26.0
10>>> df.groupby(['Animal']).mean()
11        Max Speed
12Animal
13Falcon      375.0
14Parrot       25.0
15
source
Mayron
23 Jan 2020
1data.groupby('month', as_index=False).agg({"duration": "sum"})
source
Manuel
09 Jun 2020
1>>> emp.groupby(['dept', 'gender']).agg({'salary':'mean'}).round(-3)
source
Leonardo
01 Jan 2020
1>>>> df.columns = ['min satmtmid', 'max satmtmid', 'min satvrmid',                            'max satvrmid', 'mean ugds']>>> df.head()
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