how to make intervals in a bar graph
31 次查看(过去 30 天)
显示 更早的评论
Suppose I have some people and they are of different weight, e.g.
weight in Kq: 40-45 45-50 50-55 55-60 60-65
No. of Persons: 4 12 13 6 5
I want to represent the weight on x-axis and No. of persons on y-axis. This will tell us that there are 4 persons whose weight lies within 40-45 and 12 persons whose weight lies in the interval 45-50 kilo and so on. How can we do that?
0 个评论
回答(2 个)
Adam Danz
2020-10-21
编辑:Adam Danz
2020-10-21
For continuous intervals
Since your intervals are continuous, you should be using histogram() instead of bar().
kg = 40:5:65;
n = [4 12 13 6 5];
histogram('BinEdges',kg,'BinCounts',n)
xlabel('Weight (kg)')
ylabel('Number of participants')
For discountinuous or categorical intervals
For any future visitors who are not using continuous x-bins and want to label bin edges, follow this demo.
% Create data
bins = [10 20;
50 60;
75 85];
y = [20;10;30];
% Create bar plot
% The .5 specifies bin width, making room for labels
h = bar(y, .5);
% Get bar centers and bar widths
xCnt = h.XData + h.XOffset; % XOffset is undocumented!
width = h.BarWidth;
% Get x-val of bar-edges
barEdgesX = xCnt + width.*[-.5;.5];
% Set new xtick and xticklabels, rotate by 90deg.
ax = h.Parent; % axis handle, if you don't have it already
ax.XTick = barEdgesX(:);
ax.XTickLabel = string(reshape(bins',[],1));
ax.XTickLabelRotation = 90;
2 个评论
the cyclist
2020-10-21
For "discontinuous" bins, it might be simpler to use your original syntax, but with a zero bin count for empty bins.
For example,
kg = 40:5:75;
n = [4 0 12 13 0 6 5];
figure
histogram('BinEdges',kg,'BinCounts',n)
xlabel('Weight (kg)')
ylabel('Number of participants')

Adam Danz
2020-10-21
Oh, that's interesting!
I just tested it with NaNs as spacers too but histogram throws an error that N must be finite.
the cyclist
2020-10-21
编辑:the cyclist
2020-10-21
Here is one way:
w = 42.5 : 5.0 : 62.5;
n = [4 12 13 6 5];
bar(w,n,'BarWidth',1)

FYI, if you have the underlying individual weight data, rather than the bin counts, you will definitely want to use histogram as in Adam's solution (although the syntax will be different).
23 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Discrete Data Plots 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!