How to change axis size without affecting bin size

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n=100;
for i=1:3000
ZZ=Zf{i};
DD=Df{i};
Zf2=linspace(min(ZZ(:)),max(ZZ(:)),n);
Df2=linspace(min(DD(:)),max(DD(:)),n);
Zfr=interp1(Zf2,1:numel(Zf2),ZZ,'nearest');
Dfr=interp1(Df2,1:numel(Df2),DD,'nearest');
zm=accumarray([Dfr Zfr],1,[n n]);
surf(zm);
hold on
end
This code generates the following histogram
How do I modify the x and y axis to make them go up until the max of Dfr and Zfr but still have the number of bins remain 100?

采纳的回答

Walter Roberson
Walter Roberson 2020-11-27
[Zf_S, Zf_L] = cellfun(@(B) bounds(B, 'all'), Zf);
Zf_max = max(Zf_L);
Zf_min = min(Zf_S);
Zf_vals = linspace(Zf_min, Zf_max, n);
[Df_S, Df_L] = cellfun(@(B) bounds(B, 'all'), Df);
Df_max = max(Df_L);
Df_min = min(Df_S);
Df_vals = linspace(Df_min, Df_max, n);
Now do your interpolation with respect to Zf_vals and Df_vals instead of with respect to a vector that changes each time.
Hint: discretize() instead of interpolation .
  9 个评论
Andrew Stark
Andrew Stark 2020-11-28
My apologies for the banana plot the following code was used
for i=1:1
Zf2=Zf{i};
Df2=Df{i};
plot(Df2,Zf2)
hold on
end
Whereas for the histogram the code was
n=100;
[Zf_S, Zf_L] = cellfun(@(B) bounds(B, 'all'), Zf);
Zf_max = max(Zf_L);
Zf_min = min(Zf_S);
Zf_vals = linspace(Zf_min, Zf_max, n);
[Df_S, Df_L] = cellfun(@(B) bounds(B, 'all'), Df);
Df_max = max(Df_L);
Df_min = min(Df_S);
Df_vals = linspace(Df_min, Df_max, n);
for i=1:1
ZZ = Zf{i};
DD = Df{i};
Zfr = discretize(ZZ, Zf_vals);
Dfr = discretize(DD, Df_vals);
zm = accumarray([Dfr Zfr], 1, [n n]);
surf(Df_vals, Zf_vals, zm);
hold on
end
Andrew Stark
Andrew Stark 2020-11-28
Additionally what is the best command to use in a for loop that will continuously add up the zm arrays

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