如何更改直方图中特定箱的颜色？

发布于 2024-10-07 20:07:06 字数 162 浏览 0 评论 0原文

我在 MATLAB 中编写了一个绘制直方图的代码。我需要将其中一个垃圾箱涂成与其他垃圾箱不同的颜色（假设是红色）。有人知道该怎么做吗？例如，给定：

A = randn(1,100);
hist(A);

我如何使 0.7 属于红色的 bin ？

原文

I wrote a code in MATLAB that plots a histogram. I need to color one of the bins in a different color than the other bins (let's say red). Does anybody know how to do it? For example, given:

A = randn(1,100);
hist(A);

How would I make the bin that 0.7 belongs to red?

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著墨染雨君画夕 2024-10-14 20:07:06

像 Jonas 建议那样制作两个重叠条形图的另一种方法是调用 bar 将垃圾箱绘制为一组修补对象，然后修改 'FaceVertexCData' 属性重新着色补丁面：

A = randn(1,100);                 %# The sample data
[N,binCenters] = hist(A);         %# Bin the data
hBar = bar(binCenters,N,'hist');  %# Plot the histogram
index = abs(binCenters-0.7) < diff(binCenters(1:2))/2;  %# Find the index of the
                                                        %#   bin containing 0.7
colors = [index(:) ...               %# Create a matrix of RGB colors to make
          zeros(numel(index),1) ...  %#   the indexed bin red and the other bins
          0.5.*(~index(:))];         %#   dark blue
set(hBar,'FaceVertexCData',colors);  %# Re-color the bins

这是输出：

替代文本

An alternative to making two overlapping bar plots like Jonas suggests is to make one call to bar to plot the bins as a set of patch objects, then modify the 'FaceVertexCData' property to recolor the patch faces:

A = randn(1,100);                 %# The sample data
[N,binCenters] = hist(A);         %# Bin the data
hBar = bar(binCenters,N,'hist');  %# Plot the histogram
index = abs(binCenters-0.7) < diff(binCenters(1:2))/2;  %# Find the index of the
                                                        %#   bin containing 0.7
colors = [index(:) ...               %# Create a matrix of RGB colors to make
          zeros(numel(index),1) ...  %#   the indexed bin red and the other bins
          0.5.*(~index(:))];         %#   dark blue
set(hBar,'FaceVertexCData',colors);  %# Re-color the bins

And here's the output:

alt text

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流年已逝 2024-10-14 20:07:06

我想最简单的方法是先绘制直方图，然后在其上绘制红色框。

A = randn(1,100);
[n,xout] = hist(A); %# create location, height of bars
figure,bar(xout,n,1); %# draw histogram

dx = xout(2)-xout(1); %# find bin width
idx = abs(xout-0.7) < dx/2; %# find the bin containing 0.7
hold on;bar([xout(idx)-dx,xout(idx),xout(idx)+dx],[0,n(idx),0],1,'r'); %# plot red bar

I guess the easiest way is to draw the histogram first and then just draw the red bin over it.

A = randn(1,100);
[n,xout] = hist(A); %# create location, height of bars
figure,bar(xout,n,1); %# draw histogram

dx = xout(2)-xout(1); %# find bin width
idx = abs(xout-0.7) < dx/2; %# find the bin containing 0.7
hold on;bar([xout(idx)-dx,xout(idx),xout(idx)+dx],[0,n(idx),0],1,'r'); %# plot red bar

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