[data1,~,~] = xlsread('20230504.xlsx','sheet1','A4:B9799'); [data2,~,~] = xlsread('20230504.xlsx','sheet1','C4:D5756'); [data3,~,~] = xlsread('20230504.xlsx','sheet1','E4:F5724'); [data4,~,~] = xlsread('20230504.xlsx','sheet1','G4:H5734'); [data5,~,~] = xlsread('20230504.xlsx','sheet1','I4:J5730'); [data6,~,~] = xlsread('20230504.xlsx','sheet1','K4:L5703'); [data7,~,~] = xlsread('20230504.xlsx','sheet1','M4:N5716'); [data8,~,~] = xlsread('20230504.xlsx','sheet1','O4:P5718'); figure; plot(data1(:,1),data1(:,2),'-r',data2(:,1),data2(:,2),'-b',data3(:,1),data3(:,2),'-g',data4(:,1),data4(:,2),'-m',data5(:,1),data5(:,2),'-y',data6(:,1),data6(:,2),'-k',data7(:,1),data7(:,2),'-c',data3(:,1),data3(:,2),'-w'); legend('Data 1','Data 2','Data 3','Data 4','Data 5','Data 6','Data 7','Data 8'); xlabel('X Axis'); ylabel('Y Axis'); title('Data Plot'); [y1,x1] = findpeaks(data1(:,2),data1(:,1)); [y2,x2] = findpeaks(data2(:,2),data2(:,1)); [y3,x3] = findpeaks(data3(:,2),data3(:,1)); [y4,x4] = findpeaks(data4(:,2),data4(:,1));[y5,x5] = findpeaks(data5(:,2),data5(:,1));[y6,x6] = findpeaks(data6(:,2),data6(:,1));[y7,x7] = findpeaks(data7(:,2),data7(:,1));[y8,x8] = findpeaks(data8(:,2),data8(:,1));hold on; plot(x1,y1,'or',x2,y2,'ob'); hold off;
时间: 2023-06-11 17:05:52 浏览: 182
这段代码读取了以.xlsx格式存储的表格数据,并绘制了8条曲线的图像,每条曲线都由两列数据组成。代码中使用了findpeaks函数来查找每条曲线的峰值,并用红色圆点和蓝色圆点标记了前两条曲线的峰值位置。最后的效果图中,横轴为X Axis,纵轴为Y Axis,图像标题为Data Plot,图例中列出了每条曲线对应的数据名称。
相关问题
根据如下开头[data1,~,~] = xlsread('20230504.xlsx','sheet1','A4:B9799'); [data2,~,~] = xlsread('20230504.xlsx','sheet1','C4:D5756'); [data3,~,~] = xlsread('20230504.xlsx','sheet1','E4:F5724'); [data4,~,~] = xlsread('20230504.xlsx','sheet1','G4:H5734'); [data5,~,~] = xlsread('20230504.xlsx','sheet1','I4:J5730'); [data6,~,~] = xlsread('20230504.xlsx','sheet1','K4:L5703'); [data7,~,~] = xlsread('20230504.xlsx','sheet1','M4:N5716'); [data8,~,~] = xlsread('20230504.xlsx','sheet1','O4:P5718');写出代码读取了以.xlsx格式存储的表格数据,通过同一文档的多组数据绘制8条曲线的图像,每条曲线都由两列数据组成。代码中使用了findpeaks函数来查找每条曲线的峰值,并将各曲线峰值用表格列出。最后的效果图中,横轴为V,纵轴为A,图像标题为Data Plot.代码读取了以.xlsx格式存储的表格数据,通过同一文档的多组数据绘制8条曲线的图像,每条曲线都由两列数据组成。代码中使用了findpeaks函数来查找每条曲线的峰值,并将各曲线峰值用表格列出。最后的效果图中,横轴为V,纵轴为A,图像标题为Data Plot.代码读取了以.xlsx格式存储的表格数据,通过同一文档的多组数据绘制8条曲线的图像,每条曲线都由两列数据组成。代码中使用了findpeaks函数来查找每条曲线的峰值,并将各曲线峰值用表格列出。最后的效果图中,横轴为V,纵轴为A,图像标题为Data Plot.
以下是读取并绘制图像的代码,其中包含了使用findpeaks函数查找峰值和输出表格的部分:
```matlab
[data1,~,~] = xlsread('20230504.xlsx','sheet1','A4:B9799');
[data2,~,~] = xlsread('20230504.xlsx','sheet1','C4:D5756');
[data3,~,~] = xlsread('20230504.xlsx','sheet1','E4:F5724');
[data4,~,~] = xlsread('20230504.xlsx','sheet1','G4:H5734');
[data5,~,~] = xlsread('20230504.xlsx','sheet1','I4:J5730');
[data6,~,~] = xlsread('20230504.xlsx','sheet1','K4:L5703');
[data7,~,~] = xlsread('20230504.xlsx','sheet1','M4:N5716');
[data8,~,~] = xlsread('20230504.xlsx','sheet1','O4:P5718');
% 绘制8条曲线
figure
hold on
plot(data1(:,1),data1(:,2))
plot(data2(:,1),data2(:,2))
plot(data3(:,1),data3(:,2))
plot(data4(:,1),data4(:,2))
plot(data5(:,1),data5(:,2))
plot(data6(:,1),data6(:,2))
plot(data7(:,1),data7(:,2))
plot(data8(:,1),data8(:,2))
xlabel('V')
ylabel('A')
title('Data Plot')
% 查找峰值并输出表格
[~,locs1] = findpeaks(data1(:,2));
[~,locs2] = findpeaks(data2(:,2));
[~,locs3] = findpeaks(data3(:,2));
[~,locs4] = findpeaks(data4(:,2));
[~,locs5] = findpeaks(data5(:,2));
[~,locs6] = findpeaks(data6(:,2));
[~,locs7] = findpeaks(data7(:,2));
[~,locs8] = findpeaks(data8(:,2));
peak_table = table(locs1,locs2,locs3,locs4,locs5,locs6,locs7,locs8);
disp(peak_table)
```
这段代码首先使用xlsread函数读取Excel文件中的多组数据,并使用plot函数绘制8条曲线。然后,对每组数据使用findpeaks函数查找峰值,并将结果存储在名为locs1~8的变量中。最后,使用table函数将峰值列成表格形式,并使用disp函数输出到命令窗口。
clc,clear originalData=readtable('aaa.xlsx'); outputData=originalData(:,1); [~,name]=xlsread('aaa.xlsx','A1:AE1'); [~,singlechoice]=xlsread('bbb.xlsx'); [~,multichoice]=xlsread('ccc.xlsx'); for i=1:4605 for j=1:30 if j<=22 outputData{i,j+1}=single_Data_index(singlechoice(j,:),originalData{i,j+1}); else outputData{i,j+1}=multi_Data_index(multichoice(j-22,:),outputData{i,j+1}); end end end writetable(outputData,'shujjichulijieguo.xlsx') xlswrite('shujjichulijieguo.xlsx',name,'Sheet1','A1'); function y=single_Data_index(in1,in2) index=find(ismember(in1,in2)); y=index; end哪里错了
这段代码有几个问题:
1. `writetable` 函数的第一个参数应该是表格类型的数据,而不是一个单独的变量。因此,需要将 `outputData` 转换为表格类型再传递给 `writetable` 函数。
2. `xlswrite` 函数已经过时,应该改用 `writematrix` 或 `writecell` 函数。
3. `outputData` 的第一列是从 `originalData` 中复制的,但是没有给第一列添加列名。因此,在 `outputData` 中添加列名,例如:
```matlab
outputData.Properties.VariableNames = ['ID', name'];
```
4. 在 `single_Data_index` 函数中,当 `in2` 不在 `in1` 中时,`find` 函数将返回一个空数组,这可能导致程序出错。因此,需要增加一个判断并设置默认返回值。例如:
```matlab
function y = single_Data_index(in1, in2)
index = find(ismember(in1, in2));
if isempty(index)
y = NaN;
else
y = index;
end
end
```
综上所述,修改后的代码如下:
```matlab
clc;
clear;
originalData = readtable('aaa.xlsx');
outputData = originalData(:, 1);
[~, name] = xlsread('aaa.xlsx', 'A1:AE1');
[~, singlechoice] = xlsread('bbb.xlsx');
[~, multichoice] = xlsread('ccc.xlsx');
for i = 1:4605
for j = 1:30
if j <= 22
outputData{i, j + 1} = single_Data_index(singlechoice(j, :), originalData{i, j + 1});
else
outputData{i, j + 1} = multi_Data_index(multichoice(j - 22, :), outputData{i, j + 1});
end
end
end
outputData.Properties.VariableNames = ['ID', name'];
writetable(outputData, 'shujjichulijieguo.xlsx');
writematrix(name, 'shujjichulijieguo.xlsx', 'Sheet1', 'A1');
function y = single_Data_index(in1, in2)
index = find(ismember(in1, in2));
if isempty(index)
y = NaN;
else
y = index;
end
end
```
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