How to generate barplot like this on a given data?

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Sharan Magavi 2020-1-13

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/500038-how-to-generate-barplot-like-this-on-a-given-data

评论： Mathieu NOE 2021-12-13

This image is taken from the matlab examples. In the example bar plot is used but bar plot doesn't seem to have any [name, value] pair to represent the plot like this.

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KALYAN ACHARJYA 2020-1-13

Sharan Magavi comment moved here-

Hello,

thank you for your response.

actually this is NOT a stacked plot.

The example i've taken is for sequence data and combining data into mini-batch sizes.

for example - if I have about 20 sequences of data and splitting it into batches of 4 then I want the plot to represent the bar plot of the sequences but simultenously want to highlight that 4 sequences make a single batch. The padding value is dependant on the sequence length in each batch.

say I have sequences of varying length - I sort it first and then when I make the mini- batches the padding occurs based on the max sequence length in every batch.

additionally, If I split the given sequences into a scalar value then the intermidiate red line( --) should be at the scalar value for each sequence of each batch.

hope this is not confusing.. for more information please check out LSTM sequence padding and truncation.

Chih 2021-12-10

The question is "HOW to create such plot"...

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Answer 1

Mathieu NOE 2021-12-13

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/500038-how-to-generate-barplot-like-this-on-a-given-data#answer_854160

在 MATLAB Online 中打开

hello

example of horizontal bar plot

clc
clearvars
close all
data_co2 = [.142 .156 .191 .251 0.5 0.86 2.2 4 8.3];
data_gdp = rand(size(data_co2));
uniNames = {'eno','pck','zwf','foo','bar','jhy','vfd','vre','zqs'};
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%% main code %%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
data_min = min(data_gdp);
data_max = max(data_gdp);
map = colormap('jet');
[mmap,nmap] = size(map);
f = figure(1);
% fig_pos = [681   105   683   874];
% set(f,'Position',fig_pos);
N = numel(data_co2);
for i=1:N
  h = barh(N-i+1, data_co2(i));
  if i == 1, hold on, end
  % now define col value based on data value (min data value maps to colormap map index 1
  % and max data value maps to colormap map last index);
  ind = fix(1+(mmap-1)*(data_gdp(i)-data_min)/(data_max-data_min));
  set(h, 'FaceColor', map(ind,:)) ;
  % Display the values as labels at the tips of the  bars. 
    xtips1 = h.YEndPoints + 0.15;
    ytips1 = h.XEndPoints;
    labels1 = string(h.YData);
    text(xtips1,ytips1,labels1,'VerticalAlignment','middle')
end
% 
set(gca, 'YTickLabel', '')  
ylabetxt = uniNames;
xpos = -max(ylim)/12;
text(repmat(xpos,N,1),1:N, ylabetxt','Rotation',0,'FontSize',15,'VerticalAlignment','middle');
xlabel('CO² concentration','FontSize',15,'HorizontalAlignment','left')
title('CO² concentration vs. GDP range','FontSize',15)
hcb=colorbar('hor');
hcb.Title.String = "GDP range";
hcb.Title.HorizontalAlignment = "right";
hcb.Title.VerticalAlignment = "cap";
hcb.Title.FontSize = 15;