I am just studying Python Pandas Data Frame and I saw
then I compare a few Dataframe, Below is an example of performances for different ways of accessing data frames that are highly relevant when the datasets become large.
10000 loops, best of 3: 159 µs per loop
10000 loops, best of 3: 158 µs per loop
10000 loops, best of 3: 132 µs per loop
100000 loops, best of 3: 5.9 µs per loop
and you can see
data.iat[0,0] hugely different from others.
My question is why
.iat different than others and how is working?
Can we work with any data?