[Top][All Lists]

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: Filling the gaps in data arrays

From: Przemek Klosowski
Subject: Re: Filling the gaps in data arrays
Date: Thu, 12 Jul 2018 10:59:30 -0400
User-agent: Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Thunderbird/52.8.0

On 07/12/2018 04:36 AM, Mat086 wrote:
dx = x(2)-x(1);
Y = zeros(1,length([min(x):dx:max(x)]));
X = [min(x):dx:max(x)];
for k=1:length(x)
   indx = find(X==x(k));
   Y(k) = y(index);
plot(x,y,'b-'); hold on; plot(X,Y,'-o');

you meanĀ  Y(k) = y(indx); , right?

And no, it won't work in Matlab either because you are doing exact floating point comparisons on calculated values, so any roundoff will trip you up---check for yourself, X==X(3) returns matches, but X==x(3) probably doesn't.

You said that "In order to analyze such kind of data with another software I need to create X and Y vectors without holes". What is exactly the assumption there? Is the original dataset sampled on a regular grid, and the non-zero values are dropped?

It seems to me that the best solution for you would be to interpolate your data onto a regular grid, perhaps like this:



reply via email to

[Prev in Thread] Current Thread [Next in Thread]