I have a dataframe which I'd like to adjust the values which are associated with a string from a different column. Example, all values in column 'wgt' that is associated with 'joe' in the 'name' column to multiply 1.10.
original df
name | wgt |
---|---|
joe | 10 |
gary | 8 |
pete | 12 |
pete | 13 |
pete | 14 |
joe | 11 |
gary | 7 |
gary | 5 |
gary | 7 |
adjusted df
name | wgt |
---|---|
joe | 11 |
gary | 8 |
pete | 12 |
pete | 13 |
pete | 14 |
joe | 12.1 |
gary | 7 |
gary | 5 |
gary | 7 |
code for sample df
import pandas as pd
data = {'name':['joe','gary','pete','pete','pete','joe','gary','gary','gary'
],'wgt':[10,8,12,13,14,11,7,5,7,]}
df = pd.DataFrame(data)
df
thanks in advance