On 09/26/2012 12:28 AM, josef.p...@gmail.com wrote: > On Wed, Sep 26, 2012 at 12:05 AM, Paul Tremblay <paulhtremb...@gmail.com> > wrote: >> In R, there are many default data sets one can use to both illustrate code >> and explore the scripting language. Instead of having to fake data, one can >> pull from meaningful data sets, created in the real world. For example, this >> one liner actually produces a plot: >> >> plot(mtcars$hp~mtcars$mpg) >> >> where mtcars refers to a built-in data set taken from Motor Trend Magazine. >> I don't believe matplotlib has anything similar. I have started to download >> some of the R data sets and store them as pickles for my own use. Does >> anyone else have any interest in creating a repository for these data sets >> or otherwise sharing them in some way? > Vincent converted several R datasets back to csv, that can be easily > loaded from the web with, for example, pandas. > http://vincentarelbundock.github.com/Rdatasets/ > The collection is a bit random. > > statsmodels has some datasets that we use for examples and tests > http://statsmodels.sourceforge.net/devel/datasets/index.html > We were always a bit slow with adding datasets because we were too > cautious about licensing issues. But R seems to get away with > considering most datasets to be public domain. > We keep adding datasets to statsmodels as we need them for new models. > > The machine learning packages like sklearn have packaged the typical > machine learning datasets. > > If you are interested, you could join up with statsmodels or with > Vincent to expand on what's available. > It seems to me like contributing to (rather than duplicating) the work of one of these projects would be a great idea. It would also be nice to add functionality in matplotlib to make it easier to download these things as a one-off -- obviously not exactly the same syntax as with R, but ideally with a single function call.
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