Re: [matplotlib-devel] Lowess smoothing

2010-04-25 Thread Michiel de Hoon
Eric, Tony, thanks for your replies. I'll look at SciPy then for this 
functionality.

Thanks,
--Michiel.

--- On Sat, 4/24/10, Eric Firing efir...@hawaii.edu wrote:

 From: Eric Firing efir...@hawaii.edu
 Subject: Re: [matplotlib-devel] Lowess smoothing
 To: Michiel de Hoon mjldeh...@yahoo.com
 Cc: matplotlib-devel@lists.sourceforge.net
 Date: Saturday, April 24, 2010, 2:29 PM
 Michiel de Hoon wrote:
  Hi everybody,
  
  A number of years ago I wrote a function to do Lowess
 smoothing to calculate a smooth curve through a scatter
 plot. I copied an example script below and attached the
 resulting figure to this mail.
  I think that such a smoothing function would be a
 useful addition to matplotlib. Does anybody have any
 objections against me adding this to matplotlib? If not,
 what would be a suitable place to put this function?
  
  --Michiel.
  
 
 Michiel,
 
 Certainly it would be good to have that function available,
 but I'm not in favor of putting it in mpl.  The trend
 has been to try to reduce overlap among mpl, numpy, and
 scipy.  To that end, scipy seems like the natural home
 for smoothing functions.
 
 Eric
 
  
  from pylab import *
  
  x = arange(0,10,0.01)
  ytrue = exp(-x/5.0) + 2*sin(x/3.0)
  
  # add random errors with a normal distribution 
                
     y = ytrue + normal(size=len(x))
  scatter(x,y,color='cyan')
  
  # calculate a smooth curve through the scatter plot
  ys = smooth(x, y, 'lowess')
  plot(x,ys,'red',linewidth=3)
  
  # draw the true values for comparison
  plot(x,ytrue,'green',linewidth=3)
  
  
        
  
 
 
  
  
 
 
  
 
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Re: [matplotlib-devel] Lowess smoothing

2010-04-24 Thread Tony S Yu

On Apr 24, 2010, at 4:25 AM, Michiel de Hoon wrote:

 Hi everybody,
 
 A number of years ago I wrote a function to do Lowess smoothing to calculate 
 a smooth curve through a scatter plot. I copied an example script below and 
 attached the resulting figure to this mail.
 I think that such a smoothing function would be a useful addition to 
 matplotlib. Does anybody have any objections against me adding this to 
 matplotlib? If not, what would be a suitable place to put this function?

I'm not a matplotlib developer, but smoothing seems more appropriate for scipy. 
There's been some talk of starting a scikit for smoothing functions (see links 
below), but I'm not sure if anyone has the motivation to actually take the lead.

-Tony

http://mail.scipy.org/pipermail/scipy-user/2010-February/024402.html
http://mail.scipy.org/pipermail/scipy-user/2010-February/024408.html--
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Re: [matplotlib-devel] Lowess smoothing

2010-04-24 Thread Eric Firing
Michiel de Hoon wrote:
 Hi everybody,
 
 A number of years ago I wrote a function to do Lowess smoothing to calculate 
 a smooth curve through a scatter plot. I copied an example script below and 
 attached the resulting figure to this mail.
 I think that such a smoothing function would be a useful addition to 
 matplotlib. Does anybody have any objections against me adding this to 
 matplotlib? If not, what would be a suitable place to put this function?
 
 --Michiel.
 

Michiel,

Certainly it would be good to have that function available, but I'm not 
in favor of putting it in mpl.  The trend has been to try to reduce 
overlap among mpl, numpy, and scipy.  To that end, scipy seems like the 
natural home for smoothing functions.

Eric

 
 from pylab import *
 
 x = arange(0,10,0.01)
 ytrue = exp(-x/5.0) + 2*sin(x/3.0)
 
 # add random errors with a normal distribution  
 y = ytrue + normal(size=len(x))
 scatter(x,y,color='cyan')
 
 # calculate a smooth curve through the scatter plot
 ys = smooth(x, y, 'lowess')
 plot(x,ys,'red',linewidth=3)
 
 # draw the true values for comparison
 plot(x,ytrue,'green',linewidth=3)
 
 
   
 
 
 
 
 
 
 
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