根据直方图的一系列值创建bin

Question

我正在进行一些分析，需要生成直方图。我知道如何创建标准直方图，但我需要类似下图的图像，其中每个点都是x轴上的间隔。例如，每个箱基于来自x-x的值。

Answer 1

您可以使用histogram函数，然后相应地设置XTick位置和XTickLabels。请参阅代码中的注释以获取解释。

% 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，以及到酒吧的距离。我还使用了'Normalization'函数中的'probability'，histogram选项，并将y轴设置为也显示百分比。

我想你可以在需要时自己添加下面的内容。

---

当您的数据可能超出定义的binedges时，您可以剪切数据，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));

---

你可以将外边缘设置为-Inf和Inf，正如user2305193指出的那样。因为外部区域要宽得多（因为它们实际上在x轴上延伸到Inf），您可以通过设置轴xlim来校正。默认情况下，XTickLabels将显示-Inf to -5.0，我个人不喜欢，因此我将它们设置为小于（等于）而不是标志。

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));