您可以使用histogram 函数,然后相应地设置XTick 位置和XTickLabels。请参阅代码中的 cmets 进行解释。
% random normally distrubuted data
x = 1*randn(1000,1);
edges = -5:1:5;
% create vector with labels (for XTickLabel ... to ...)
labels = [edges(1:end-1); edges(2:end)];
labels = labels(:);
% plot the histogram
figure();
ax = axes;
h = histogram(x, 'BinEdges', edges, 'Normalization', 'Probability');
ax.XTick = edges + mean(diff(edges)/2);
ax.XTickLabel = sprintf('%.1f to %.1f\n', labels);
ax.XTickLabelRotation = 90;
% set yticks to percentage
ax.YTickLabel = cellfun(@(a) sprintf('%i%%', (str2double(a)*100)), ax.YTickLabel, 'UniformOutput', false);
% text above bars
bin_props = h.BinCounts/numel(x); % determine probabilities per bin in axis units
bin_centers = ax.XTick(1:end-1); % get the bin centers
txt_heigts = bin_props + 0.01; % put the text slightly above the bar
txt_labels = split(sprintf('%.1f%% ', bin_props*100), ' ');
txt_labels(end) = []; % remove last cell, is empty because of split.
text(ax, bin_centers, txt_heigts, txt_labels, 'HorizontalAlignment', 'center')
% set ylim to fit all text (otherwise text is outside axes)
ylim([0 .4]);
将文本放在正确的位置可能需要一些调整。最重要的是'HorizontalAlignment' 选项,以及到条形的距离。我还使用了histogram 函数中的'Normalization'、'probability' 选项,并将y 轴设置为也显示百分比。
我认为您可以在需要时自己在下方添加。
当您的数据可能在定义的binedges 之外时,您可以剪裁数据,并将XTickLabels 设置为小于或大于符号。
% when data can be outside of defined edges
x = 5*randn(1000,1);
xclip = x;
xclip(x >= max(edges)) = max(edges);
xclip(x <= min(edges)) = min(edges);
% plot the histogram
figure();
ax = axes;
h = histogram(xclip, 'BinEdges', edges);
ax.XTick = edges + mean(diff(edges)/2);
ax.XTickLabel = sprintf('%.1f to %.1f\n', labels);
ax.XTickLabelRotation = 90;
% set boundary labels
ax.XTickLabel{1} = sprintf('\\leq %.1f', edges(2));
ax.XTickLabel{end-1} = sprintf('\\geq %.1f', edges(end-1));
您还可以将外边缘设置为-Inf 和Inf,正如user2305193 指出的那样。因为外面的箱子要宽得多(因为它们实际上延伸到 x 轴上的Inf),您可以通过设置轴xlim 来纠正它。默认情况下,XTickLabels 将显示-Inf to -5.0,我个人不喜欢这样,所以我将它们设置为小于(等于)和大于符号。
step = 1;
edges = -5:step:5; % your defined range
edges_inf = [-Inf edges Inf]; % for histogram
edges_ext = [edges(1)-step edges]; % for the xticks
x = 5*randn(1000,1);
% plot the histogram
figure();
ax = axes;
h = histogram(x, 'BinEdges', edges_inf, 'Normalization', 'probability');
labels = [edges_inf(1:end-1); edges_inf(2:end)];
labels = labels(:);
ax.XTick = edges_ext + step/2;
ax.XTickLabel = sprintf('%.1f to %.1f\n', labels);
ax.XTickLabelRotation = 90;
% show all bins with equal width (Inf bins are in fact wider)
xlim([min(edges)-step max(edges)+step])
% set boundary labels
ax.XTickLabel{1} = sprintf('\\leq %.1f', edges(1));
ax.XTickLabel{end-1} = sprintf('\\geq %.1f', edges(end));