Swapping from hist to histogram

2 次查看（过去 30 天）
Jason
Jason 2017-2-19
评论： Jason 2019-1-10
Hi, under the recommendation of Steven Lord, I am trying to update my code and not use hist as the histogram function and instead use histogram
I previously did this:
[counts,xb]=hist(data(:,3),nbins); %IMHIST ONLY HANDLES 8 & 16 BIT IMAGES, NOT 12BIT
figure
ax1=subplot(1,2,1);
bar(xb,counts,'b','EdgeColor','b');
grid on
%Now get the max frequency.
mxC=max(counts);
indx=find(counts==mxC);
xmx=xb(indx);
hold on;
lineH1=plot([xmx xmx],ylim,'r--','LineWidth',1);
hold off
So when I swap over to the histogram function, I can get the y-axis values but not the x-axis values
h=histogram(data(:,3),nbins)
counts=h.Values % frequency (i.e. y-axis)
How do I get the mode of this histogram and plot it?
Thanks Jason

请先登录，再回答此问题。

采纳的回答

Star Strider
Star Strider 2017-2-19
One approach:
data = randi(99, 1, 100);
nbins = 25;
h = histogram(data, nbins);
counts = h.BinCounts;
edges = h.BinEdges;
width = h.BinWidth;
ctrs = edges(1:end-1) + width/2;
MaxCountsV = counts >= max(counts); % Logical Vector
Desired_Output = [ctrs(MaxCountsV), counts(MaxCountsV)] % [BinCentre, Counts]
It’s essentially self-documenting with the variable names. The output displays the bin centre corresponding to the maximum count.
You could make this a bit more efficient if you need to. My objective here is to leave a clear trail so you know how I got the result.
  11 个评论
显示 9更早的评论
Steven Lord
Steven Lord 2018-11-29
I happened upon this message while doing searching for another message. About the follow-up question about making each integer a different bin, when you call histogram specify the name-value pair 'BinMethod', 'integers' instead of specifying bin edges and histogram will automatically create edges with one integer per bin (unless your data spans too wide a range, in which case the bins will be wider than 1, as stated in the entry for 'integers' in the documentation of the BinMethod argument.)

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Histograms 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by