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  1. Time series analysis with pandas. Part 2


    continue interactive analysis of time series (AO, NAO indexes)



    In the previous part we looked at very basic ways of work with pandas. Here I am going to introduce couple of more advance tricks. We will use very powerful pandas IO capabilities to create time series directly from the text file, try to create seasonal means with resample and multi-year monthly means with groupby. At the end I will show how new functionality from the upcoming IPython 2.0 can be used to explore your data more efficiently with sort of a simple GUI (interact function). There might be easier or better ways to do some of the things discussed here, and I will be happy to hear about them in comments :)

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