fileID = fopen('q65.txt','r');
formatSpec = '%f';
file = fscanf(fileID,formatSpec);

h = histogram(file,50);
%Find index of maximum
[~, index]= max(h.Values);

delta = h.BinLimits(2)-h.BinLimits(1);
% find the range for a single bin
slot = delta./h.NumBins;

%location = minimum y + (index of maxmium)*slot 
lb = h.BinLimits(1) + (index-1)*slot;
ub = h.BinLimits(1) + (index)*slot;

location = [lb, ub]

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位置是范围，不是固定数字

简单的一个

fileID = fopen('q65.txt','r');
formatSpec = '%f';
file = fscanf(fileID,formatSpec);
h = histogram(file,50);
%Find index of maximum
[~, index]= max(h.Values);
lb = h.BinEdges(index);
ub = h.BinEdges(index+1);
location = [lb, ub]

型

[Y,X] = max(h);

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你试过这个吗？

找到直方图中的最高峰

import numpy as np
x = np.array([1.2, 2.1, 3.0, 4.1, 4.2, 4.5, 4.9, 5.3])
hist, bin_edges = np.histogram(x, bins=7, range=[0, 7])
max_hist = max(hist)
max_hist_idx = np.where(hist == max_hist)[0][0]
max_hist_mean = (bin_edges[max_hist_idx] + bin_edges[max_hist_idx + 1]) / 2
print(f'Maximum value= {max_hist_mean:.1f}')

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