Is there a way to extracted histogram data into a matrix instead of graph?

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Soma 2019-11-22

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https://ww2.mathworks.cn/matlabcentral/answers/492561-is-there-a-way-to-extracted-histogram-data-into-a-matrix-instead-of-graph

编辑： Soma 2019-11-22

采纳的回答： Bryan

在 MATLAB Online 中打开

Hello,

Is there a way to extract histogram data into a matrix instead of a graph?

for mer= start:Add:N_Mer  
    FileName_1 = ['Info_',num2str(N_Mer),'.mat'];
    disp([FileName_1,' Running'])
    M=load(FileName_1);
    all_rows=cell2mat(struct2cell(M));
    R_sqr{N_Mer}=all_rows(1,:);
    FileName=(['hist_R2',num2str(N_Mer)]);
    hist_R2{N_Mer}=histogram(R_sqr{N_Mer});
    legend
    hold on
end

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采纳的回答

Bryan 2019-11-22

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/492561-is-there-a-way-to-extracted-histogram-data-into-a-matrix-instead-of-graph#answer_402778

编辑：Bryan 2019-11-22

在 MATLAB Online 中打开

If you want to make a plot and also extract the values

% some data
foo = randn(10000,1);
% make a histogram named h
h = histogram(foo);
% get the values of the histogram
binedges = h.BinEdges;
binwidth = h.BinWidth;
bincounts = h.Values;

Alternatively, if you don't want a plot, but just want to extract histogram information

% some data
foo = randn(10000,1);
% extract histogram data
[bincounts, binedges] = histcounts(foo);

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Steven Lord 2019-11-22

The bin counts are fence rails/sections, the bin edges are the fence posts. See the Wikipedia page for "off by one error".

Ten bins would require eleven bin edges as shown in the picture in the "Fencepost error" section on that Wikipedia page.

Soma 2019-11-22

编辑：Soma 2019-11-22

在 MATLAB Online 中打开

Info_8.mat

Check this code with the below file please.

clc                        % To clear the screen
clear                      % To clear the Memory
t       = tic;
time  	= [];   
start = 8;
Add = 1;
Num_Mon = 8;               % Total number of steps
for Num_monomers= start:Add:Num_Mon  
    FileName_1 = ['Info_',num2str(Num_monomers),'.mat'];
    disp([FileName_1,' Running'])
    M=load(FileName_1);
    all_rows=cell2mat(struct2cell(M));
    R_sqr=all_rows(1,:);
    FileName=(['hist_R2',num2str(Num_monomers)]);
    [bincounts, binedges] = histcounts(R_sqr);
    bincentres = binedges(1:end-1)+diff(binedges)/2;
    FileName = (bincounts);
    FileName=histogram(R_sqr);
    legend
    hold on
end