There is a nice stats package in Scipy with Numpy.
On Sep 26, 1:34 am, Robert Bradshaw <[email protected]>
wrote:
> Yes, there's some stuff in the finance.time_series for doing simple
> stats over the reals. (This really needs to be put somewhere more
> obvious, along with histogram, etc.)
>
> sage: sage.finance.time_series.TimeSeries([1,2,5])
> [1.0000, 2.0000, 5.0000]
> sage: t = sage.finance.time_series.TimeSeries([1,2,5])
> sage: t.[tab]
> t.abs t.fft t.prod
> t.add_entries t.histogram t.randomize
> t.add_scalar t.hurst_exponent
> t.range_statistic
> t.autocorrelation t.ifft t.reversed
> t.autocovariance t.list t.scale
> t.autoregressive_fit t.log t.scale_time
> t.autoregressive_forecast t.max t.show
> t.central_moment t.mean
> t.simple_moving_average
> t.clip_remove t.min
> t.standard_deviation
> t.correlation t.moment t.sum
> t.covariance t.numpy t.sums
> t.diffs t.plot t.variance
> t.exp t.plot_candlestick t.vector
> t.exponential_moving_average t.plot_histogram
> t.extend t.pow
>
> For more complicated things, we also ship R, though the interface
> could be greatly improved.
>
> On Sep 25, 2009, at 11:56 PM, ablondin wrote:
>
>
>
>
>
> > Hello, everybody !
> > Do you know how we can compute standard statistics on lists in sage ?
> > For instance, if I have a list of 100 reals, how can I compute the
> > mean of this list, the standard deviation, the variance, the median,
> > the mode, etc. Are there predefined functions in sage or do I need to
> > write them ?
> > Thank you !
> > Alexandre Blondin Massé- Hide quoted text -
>
> - Show quoted text -
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