[Matplotlib] Ploting an exponential distribution frequency curve

Mario Figueiredo marfig at gmail.com
Sun Apr 26 14:32:06 CEST 2015


On Sun, 26 Apr 2015 11:17:07 +0100, Dave Farrance
<DaveFarrance at OMiTTHiSyahooANDTHiS.co.uk> wrote:

>
>Moving average. Try:
>
>def movingaverage(interval, window_size):
>    window= numpy.ones(int(window_size))/float(window_size)
>    return numpy.convolve(interval, window, 'same')
>
>y_av = movingaverage(y,10)
>
>Note that you'd get problems at the start and end of the curve if it's
>non-zero there, which is difficult to avoid with noise-reduction.

Thanks for the suggestion, Dave.

I'm also considering the interpolation sub-package in SciPy.
http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html

I was a bit surprised that matplotlib didn't offer me interpolation
out-of-the-box like gnuplot's `smooth csplines` option.



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