/Python/Impute data by using groupby and transform

Impute data by using groupby and transform

import pandas as pd
from datetime import datetime

def generate_data():
    ...

t = datetime.now()
df = generate_data()
df['value'] = df.groupby(['category', 'name'])['value']\
    .transform(lambda x: x.fillna(x.mean()))
print(datetime.now()-t)

# 0:00:00.016012

t = datetime.now()
df = generate_data()
df["value"] = df.groupby(['category', 'name'])\
    .transform(lambda x: x.fillna(x.mean()))['value']
print(datetime.now()-t)

# 0:00:00.030022

Source: stackoverflow.com

Impute data by using groupby and transform

df['value'] = df.groupby(['category', 'name'])['value']\
    .transform(lambda x: x.fillna(x.mean()))

Source: stackoverflow.com

Similar codes

5 votes362 views4 answers
Create python list
Python
0 vote344 views1 answer
Try and exception
Python
0 vote337 views1 answer
Django get current user in form
Python
9 votes293 views20 answers
Tkinter python
Python
0 vote320 views1 answer
Python press key to break
Python
1 vote350 views1 answer
Add self role with discord bot python
Python
0 vote314 views1 answer
Python if something exception
Python
-1 vote310 views1 answer
Csv reader url
Python
0 vote333 views1 answer
Doublespace in python
Python
0 vote296 views1 answer
Python program to demonstrate scoping
Python