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Pandas 0.16.1 is here! CategoricalIndex and Series.sample() (pydata.org)
10 points by pmlandwehr 3271 days ago | 9 comments


2 points by grahama 3271 days ago | link

I honestly don't see how I could ever go back with data preprocessing and basic analysis after using pandas.

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1 point by jack 3270 days ago | link

Does anyone here contribute to pandas? I am interested in getting involved, at least in documentation.

My email is <myfirstname>golding[at]live.com.au if you would care to help me get involved

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1 point by harshnisar 3270 days ago | link

In the same update they've revamped the 'How to contribute' page. Check it out and all the best :)

http://pandas.pydata.org/pandas-docs/stable/contributing.htm...

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1 point by jack 3270 days ago | link

Yeah I answered on the back of this - I think I might just have to have a stab at it!

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1 point by elliott34 3271 days ago | link

we're still on 15.2 ....too many things broke when we upgraded from 14 (and that's probably my fault entirely)

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1 point by robdoherty2 3271 days ago | link

Can any readers familiar with sampling packages in R compare those now in Pandas?

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1 point by pmlandwehr 3271 days ago | link

Hmmm... I can't speak to the new pandas stuff, but the random module in numpy should cover the same ground as most of R's sampling schemes. (http://docs.scipy.org/doc/numpy/reference/routines.random.ht...) It's trivial to use it to pull indices from pandas data frames.

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1 point by roycoding 3271 days ago | link

I'm still basking in the 0.16.0 bug fix for resampling time series of daylight savings time boundaries. That bug was a pain.

The new features in 0.16.1 look very useful indeed.

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1 point by pmlandwehr 3271 days ago | link

This is obviously mostly a bug fix release, but I'm never unhappy to have bugs fixed. Sample seems like it'll mostly be a handy shortcut for experimenting, since np.random can generally solve those problems. There's also a new BusinessHour feature, which seems pretty nice.

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