Matlab绘制带误差线的柱状图

Matlab可绘制带误差线的柱状图（需下载barweb (BARgraph With Error Bars) - File Exchange - MATLAB Central并设置路径），成图如下所示。

代码：

close all;clear;clc;
X = [0.2267 0.1423 0.1427 0.1038; 0.1567 0.1184 0.1479 0; 0.1199 0.1035 0.1643 0; 0.1900 0.1540 0.1631 0]; %(系列数据)
E = [0.2808 0.1069 0.1092 0.1006; 0.1614 0.1003 0.1001 0; 0.1277 0.0789 0.1181 0; 0.2398 0.1518 0.1433 0];%（标准差）
legends = {'2019','2020','2021','2022'};%（图例）
groupnames = cell(4,1);
groupnames{1} = '1';groupnames{2} = '2';groupnames{3} = '3';groupnames{4} = '4';%（分组名称）
Title = '';
Xlabel = 'X';
Ylabel = 'Y';
barweb(X,E,1,groupnames,Title,Xlabel,Ylabel,jet,'none',legends,2,'plot');

设置配色及颜色对应可参考：

MATLAB绘制柱状图带标准误差线 - 爱码网

Matlab-RGB-颜色对照表(0-1之间取值)_循香而落的博客-CSDN博客_matlab颜色代码rgb

设置坐标轴和图例字体、大小可参考：

matlab——修改图中字体_DWQY的博客-CSDN博客_matlab图片字体

如果使用高版本Matlab，运行过程过程中可能会遇到以下（以及其他）问题

解决方式详见

在Matlab中使用barweb绘制带方差的分组柱状图时的几个注意事项_jbb0523的博客-CSDN博客

最后贴一下我自己修改后的代码（Maltab R2016a版本）：

function handles = barweb(barvalues, errors, width, groupnames, bw_title, bw_xlabel, bw_ylabel, bw_colormap, gridstatus, bw_legend, error_sides, legend_type)%
% Usage: handles = barweb(barvalues, errors, width, groupnames, bw_title, bw_xlabel, bw_ylabel, bw_colormap, gridstatus, bw_legend, error_sides, legend_type)
%
% Ex: handles = barweb(my_barvalues, my_errors, [], [], [], [], [], bone, [], bw_legend, 1, 'axis')
%
% barweb is the m-by-n matrix of barvalues to be plotted.
% barweb calls the MATLAB bar function and plots m groups of n bars using the width and bw_colormap parameters.
% If you want all the bars to be the same color, then set bw_colormap equal to the RBG matrix value ie. (bw_colormap = [1 0 0] for all red bars)
% barweb then calls the MATLAB errorbar function to draw barvalues with error bars of length error.
% groupnames is an m-length cellstr vector of groupnames (i.e. groupnames = {'group 1'; 'group 2'}).  For no groupnames, enter [] or {}
% The errors matrix is of the same form of the barvalues matrix, namely m group of n errors.
% Gridstatus is either 'x','xy', 'y', or 'none' for no grid.
% No legend will be shown if the legend paramter is not provided
% 'error_sides = 2' plots +/- std while 'error_sides = 1' plots just + std
% legend_type = 'axis' produces the legend along the x-axis while legend_type = 'plot' produces the standard legend.  See figure for more details
%
% The following default values are used if parameters are left out or skipped by using [].
% width = 1 (0 < width < 1; widths greater than 1 will produce overlapping bars)
% groupnames = '1', '2', ... number_of_groups
% bw_title, bw_xlabel, bw_ylabel = []
% bw_color_map = jet
% gridstatus = 'none'
% bw_legend = []
% error_sides = 2;
% legend_type = 'plot';
%
% A list of handles are returned so that the user can change the properties of the plot
% handles.ax: handle to current axis
% handles.bars: handle to bar plot
% handles.errors: a vector of handles to the error plots, with each handle corresponding to a column in the error matrix
% handles.legend: handle to legend
%
%
% See the MATLAB functions bar and errorbar for more information
%
% Author: Bolu Ajiboye
% Created: October 18, 2005 (ver 1.0)
% Updated: Dec 07, 2006 (ver 2.1)
% Updated: July 21, 2008 (ver 2.3)% Get function arguments
if nargin < 2error('Must have at least the first two arguments:  barweb(barvalues, errors, width, groupnames, bw_title, bw_xlabel, bw_ylabel, bw_colormap, gridstatus, bw_legend, barwebtype)');
elseif nargin == 2width = 1;groupnames = 1:size(barvalues,1);bw_title = [];bw_xlabel = [];bw_ylabel = [];bw_colormap = jet;gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 3groupnames = 1:size(barvalues,1);bw_title = [];bw_xlabel = [];bw_ylabel = [];bw_colormap = jet;gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 4bw_title = [];bw_xlabel = [];bw_ylabel = [];bw_colormap = jet;gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 5bw_xlabel = [];bw_ylabel = [];bw_colormap = jet;gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 6bw_ylabel = [];bw_colormap = jet;gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 7bw_colormap = jet;gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 8gridstatus = 'none';bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 9bw_legend = [];error_sides = 2;legend_type = 'plot';
elseif nargin == 10error_sides = 2;legend_type = 'plot';
elseif nargin == 11legend_type = 'plot';
endchange_axis = 0;
ymax = 0;if size(barvalues,1) ~= size(errors,1) || size(barvalues,2) ~= size(errors,2)error('barvalues and errors matrix must be of same dimension');
elseif size(barvalues,2) == 1barvalues = barvalues';errors = errors';endif size(barvalues,1) == 1barvalues = [barvalues; zeros(1,length(barvalues))];errors = [errors; zeros(1,size(barvalues,2))];change_axis = 1;endnumgroups = size(barvalues, 1); % number of groupsnumbars = size(barvalues, 2); % number of bars in a groupif isempty(width)width = 1;end% Plot barshandles.bars = bar(barvalues, width,'edgecolor','k', 'linewidth', 2);hold onif ~isempty(bw_colormap)barmap=[0.39 0.58 0.92; 0.60 0.80 0.196; 0.93 0.87 0.51; 1 0.64 0];colormap(barmap);elsecolormap(barmap);endif ~isempty(bw_legend) && ~strcmp(legend_type, 'axis')handles.legend = legend(bw_legend, 'fontsize', 24);elsehandles.legend = [];end% Plot errosfor i = 1:numbarsx = handles.bars(i).XData + handles.bars(i).XOffset;handles.errors(i) = errorbar(x, barvalues(:,i), errors(:,i), 'k', 'linestyle', 'none', 'linewidth', 2);ymax = max([ymax; barvalues(:,i)+errors(:,i)]);endif error_sides == 1set(gca,'children', flipud(get(gca,'children')));endylim([0 ymax*1.1]);xlim([0.5 numgroups-change_axis+0.5]);if strcmp(legend_type, 'axis')for i = 1:numbarsxdata = get(handles.errors(i),'xdata');for j = 1:length(xdata)text(xdata(j),  -0.03*ymax*1.1, bw_legend(i), 'Rotation', 60, 'fontsize', 24, 'HorizontalAlignment', 'right');endendset(gca,'xaxislocation','top');endif ~isempty(bw_title)title(bw_title, 'fontsize',24,'FontWeight','bold','FontName','Times New Roman');endif ~isempty(bw_xlabel)xlabel(bw_xlabel, 'fontsize',24,'FontWeight','bold','FontName','Times New Roman');endif ~isempty(bw_ylabel)ylabel(bw_ylabel, 'fontsize',24,'FontWeight','bold','FontName','Times New Roman');endset(gca, 'xticklabel', groupnames, 'box', 'on', 'ticklength', [.01 .01], 'fontsize', 24,'FontWeight','bold','FontName','Times New Roman', 'xtick',1:numgroups, 'linewidth', 2,'xgrid','off','ygrid','off');if ~isempty(gridstatus) && any(gridstatus == 'x')set(gca,'xgrid','on');endif ~isempty(gridstatus) && any(gridstatus ==  'y')set(gca,'ygrid','on');endhandles.ax = gca;hold off
end

Matlab绘制带误差线的柱状图相关推荐

R - ggplot绘制带误差线的柱状图
ggplot绘制带误差线的柱状图利用ggplot2 数据格式转换并做统计计算绘制图形 ## 模拟 ## 导入包 library(ggplot2) library(reshape2) library ...
Python+Matplotlib绘制带误差线的柱状图
推荐图书: <Python程序设计(第3版)>,(ISBN:978-7-302-55083-9),董付国,清华大学出版社,2020年6月第1次印刷,2021年12月第11次印刷,山东省一流 ...
matlab 条形图误差线,数据可视化系列：手把手教你绘制带误差线的条形图
原标题:数据可视化系列:手把手教你绘制带误差线的条形图条形图可以用于展示数据不同分类下的均值.中位数.标准差和置信区间等,Excel可以实现,但对于带误差线的条形图而言,还是比较麻烦的.R语言的基础 ...
python-科研绘图系列（1）-带误差线的柱状图
1.带误差线的柱状图 import numpy as np import pandas as pd import matplotlib.pyplot as pltfig=plt.figure(figs ...
绘制带有误差线的柱状图
绘制带有误差线的柱状图,代码比较简单就不再解释了 # a stacked bar plot with errorbars import numpy as np import matplotlib.py ...
R语言绘制带误差线的条形图
条形统计图是用一个单位长度表示一定的数量,根据数量的多少画成长短不同的直条.带误差的条形图可以通过误差线来判断显著性. 继续使用我们的汽车销售数据(公众号回复:汽车销售,可以获得该数据)来演示,先导入 ...
Python绘制带误差线的图形 Python plots with error bands
If you want to plot a function curve with multiple parameters with errors, one way to visualize the ...
python绘制带误差线的条形图
绘制格式: plt.bar(index, values, yerr = std, error_kw = {'ecolor' : '0.2', 'capsize' :6}, alpha=0.7) yer ...
3.3带误差线的柱状图

Matlab绘制带误差线的柱状图

Matlab绘制带误差线的柱状图相关推荐

最新文章

热门文章