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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

MoRe
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ManOnTheMoon
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1 Answers1

2
df['wgt'] = np.where(df.name == "joe", df.wgt * 1.1, df.wgt)

or

df.loc[df.name == "joe", "wgt"] *= 1.1
MoRe
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