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Time Series Manipulation with pandas
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enthought
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scipy_2012
--room Ballroom_CDE 1179 --force
Next: 11 SymPy Stats - Uncertainty Modeling
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Marks
Author(s):
Wes McKinney
Location
Ballroom (CDE)
Date
jul Wed 18
Days Raw Files
Start
14:20
First Raw Start
13:38
Duration
20:00
Offset
0:41:43
End
14:40
Last Raw End
14:41
Chapters
00:00
Total cuts_time
17 min.
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In this talk I'll discuss major developments in pandas over the last year related to time series handling and processing. This includes the integration of the new NumPy datetime64, implementation of rich and high performance resampling methods, better visualization, and a generally cleaner, more intuitive and productive API. I will also discuss how functionality from the defunct scikits.timeseries project has been integrated into pandas, thus providing a unified, cohesive set of time series tools for many different problem domains. Lastly, I'll give some details about the pandas development roadmap and opportunities for more people to get involved.
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