conditionally multiply values in DataFrame row

Question

here is an example DataFrame:

df = pd.DataFrame([[1,0.5,-0.3],[0,-4,7],[1,0.12,-.06]], columns=['condition','value1','value2'])

I would like to apply a function which multiples the values ('value1' and 'value2' in each row by 100, if the value in the 'condition' column of that row is equal to 1, otherwise, it is left as is.

presumably some usage of .apply with a lambda function would work here but I am not able to get the syntax right. e.g.

df.apply(lambda x: 100*x if x['condition'] == 1, axis=1) 

will not work

the desired output after applying this operation would be:

Answer 1

As simple as

df.loc[df.condition==1,'value1':]*=100