# Replace MAX value with 1 (else = 0) rowwise in Pandas DF

I have a DF with a lot of colums, how can I replace the values with either (1 or 0) given that the MAX value per row gets a 1 and all others 0. So if I have

`v1 v2 v3 1 3 2 0 4 .5 .1 .1 .7 `

And get:

`v1 v2 v3 0 1 0 0 1 0 0 0 1 `

Numbers are floats, given previous calculations NO duplicate numbers per row are possible.

Thanks,

We can do `max`

then `eq`

`df=df.eq(df.max(axis=1),axis=0).astype(int) v1 v2 v3 0 0 1 0 1 0 1 0 2 0 0 1 `