So, you want to get rid of any row that has ‘NaN’ ( null or not a number ) values, because it doesn’t work with some functions ( or can’t ignore ) obs1.dropna(how = ‘all’, subset = [‘wind_mph’], inplace = True) obs1 = obs1.reset_index(drop=True) Another important point – is that with Pandas – you have to convert any value you […]
