Pandas Dataframe - find the row with minimum value based on two columns but greater than 0

Question

I have a dataframe with 3 columns: x, y, time. There are a few thousand rows.

What I want to do is retrieve the row with the minimum time but I would like that the minim

Answer 1

Try this:

In [69]: df.loc[df.time>0, 'time'].idxmin()
Out[69]: 3

or

In [72]: df.loc[[df.loc[df.time>0, 'time'].idxmin()]]
Out[72]:
     x   y  time
3  240  19   9.7