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I am a newbie in pandas, I reviewed some of the listed solution to bucket dataframe but none of them seems to be my answer. i have a time series data which I am not going to use resampling for them, the way I want to bucket is divide whole data into 7 groups and each group into 10 equal buckets. I am sure there must be very straight way rather than using index here.

More details

Dataframe

tick: 2014-11-03 00:00:07,...
date_part: 4972807141,  4972807143
spot: 0.8752, 0.8753,... 
length:1405

the ticks i want to be grouped into 7 and each point to exact 10 spot bucket and then other column can use aggregation function up to spot bucket level, which will be total 7X10 records.

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Katayoon
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  • Can you try to explain your problem a little bit more? Maybe show us what you've tried to do? Or maybe show us your input and your expceted output? See http://sscce.org/. – ASGM Apr 03 '15 at 05:03
  • I have added more details about my problem. – Katayoon Apr 03 '15 at 05:50
  • I'm still unclear about how the input should match up the the output. Can you post a sample of your actual input that can be copy-pasted into our own terminals? And then post a code sample of how the output should look? – ASGM Apr 03 '15 at 19:09

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