Bar plot from different .csv files

1 次查看（过去 30 天）
Paola Morales Carvajal
编辑： Scott MacKenzie 2022-2-28
I have 15 .csv files which column 2 is in mm and column 3 is the Newton where I ran three times for the same set. I want the script to read all the files and to make a bar graph where I take the average of each set and calculate the standard deviation. I appreaciate if someone can help me.
  3 个评论
显示 1更早的评论
Scott MacKenzie
Scott MacKenzie 2022-2-27
编辑：Scott MacKenzie 2022-2-28
Ran in:
OK, that's a start. But, it's not clear what you want each "bar graph" to look like. I just looked in the first file. The 1st column contains timestamps for the measurements. The 2nd and 3rd columns contain the measurements for extension (mm) and load (Newtons), respectively. I created some plots of the data in the 2nd and 3rd columns vs. time. Below, the 1st two plots (top row) are line plots and the 2nd two (bottom row) are bar charts showing the means and standard deviations in error bars. I'm not sure that bar graphs are appropriate, given the trends that are evident in the line charts. Please explain in a bit more detail what type of output you want to create. It's also not clear how you want to combine the data from the 15 files. Please explain.
f = 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/909015/S1_2_8_25_Specimen_RawData_1.csv';
M = readmatrix(f, 'range', 'a6');
tiledlayout(2,2);
nexttile;
plot(M(:,1), M(:,2));
xlabel('Time (s)'); ylabel('Extension (mm)');
nexttile;
plot(M(:,1), M(:,3));
xlabel('Time (s)'); ylabel('Load (Newtons)')
nexttile;
m1 = mean(M(:,2));
bar(m1);
hold on;
ax = gca;
ax.XTickLabel = {'S1\_2\_8\_25'}; ylabel('Extension (mm)');
errorbar(m1, std(M(:,2)), 'color', 'k');
nexttile;
m2 = mean(M(:,3), 'omitnan');
bar(m2);
hold on;
ax = gca;
ax.XTickLabel = ('S1\_2\_8\_25'); ylabel('Load (Newtons)');
errorbar(m2, std(M(:,3), 'omitnan'), 'color', 'k');

请先登录，再进行评论。

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Graphics Performance 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by