Modify pandas dataframe values based on a condition

Question

This is a sample of the data that I have.

    Label | Time
    A     | 1.42
    A     | 1.42
    C     | 2.21
    C     | 2.24
    C     | 2.24
    A     | 2.30

I want to modify the time for only the rows with the Label 'A'.

i.e. apply a function such as

time=time+adjustment for each row that has a Label 'A' to modify its time.

Is it possible to use df.apply to do this or is there any other way like using df.iterrows or df.itertuples ? Thank you !

MaxU - stand with Ukraine · Accepted Answer · 2017-06-23 20:54:47Z

2

df.loc[df.Label=='A', 'Time'] += adjustment

answered Jun 23, 2017 at 20:54

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