Bin pandas dataframe by every X rows

问题

I have a simple dataframe which I would like to bin for every 3 rows.

It looks like this:

    col1
0      2
1      1
2      3
3      1
4      0

and I would like to turn it into this:

    col1
0      2
1    0.5

I have already posted a similar question here but I have no Idea how to port the solution to my current use case.

Can you help me out?

Many thanks!

回答1:

>>> df.groupby(df.index / 3).mean()
   col1
0   2.0
1   0.5

回答2:

The answer from Roman Pekar was not working for me. I imagine that this is because of differences between Python2 and Python3. This worked for me in Python3:

>>> df.groupby(df.index // 3).mean()
   col1
0   2.0
1   0.5

回答3:

For Python 2 (2.2+) users, who have "true division" enabled (e.g. by using from __future__ import division), you need to use the "//" operator for "floor division":

df.groupby(df.index // 3).mean()

来源：https://stackoverflow.com/questions/20180324/bin-pandas-dataframe-by-every-x-rows