Plot only specific categorical values / scatterplot
显示 更早的评论
Hello,
I want to create a scatterplot of selected values (in this case A, B, D; without C & E) of a categorical attribute (see image).
Unfortunately I have not found a solution for this-
Help is much appreciated!
3 个评论
Adam Danz
2021-4-28
The scatter function supports categorical inputs. Plus when I search for "matlab scatter categorical" in google I get lots and lots of hits. What specificially are you having trouble with?
Simon Schmidt
2021-4-28
Chad Greene
2021-4-28
gscatter might also be useful.
采纳的回答
>I only want to plot some specific values of shop_name ("A", "B", "D")
Using idexing. But with categories you also need to set which categories should appear on the axes (last line in demo). Otherwise, even with indexing, all categories will display in the plot, even if they do not contain y-values due to indexing.
Demo 1
T = table(repelem(categorical(num2cell(char(65:70))),1,2)', randi(10,12,1),'VariableNames',{'Shop','Sales'})
selection = categorical({'A','B','D'});
idx = ismember(T.Shop, selection);
scatter(T.Shop(idx), T.Sales(idx),90,'filled')
ax = gca();
ax.XAxis.Categories = selection; % Set which categories appear
Demo 2
After adding the answer, I realized that indexing isn't really required but if you have many data points, indexing might help to speed up the process and reduce the size of the figure in memory since it only plots the data you want rather than plotting all of the data and then making only some of it visible like this approach does below.
T = table(repelem(categorical(num2cell(char(65:70))),1,2)', randi(10,12,1),'VariableNames',{'Shop','Sales'})
scatter(T.Shop, T.Sales,90,'filled')
ax = gca();
ax.XAxis.Categories = categorical({'A','B','D'});
If you want to change the visible categories you don't need to reproduce the plot, you just need to call this last line again with the selected categories.
4 个评论
Simon Schmidt
2021-4-29
Adam Danz
2021-4-29
Thanks @Simon Schmidt. After looking at my answer again, I added a second demo which is simpler but I'm undecided which method is most efficient because the second method stores all of the figure data that isn't plotted in memory. If you don't have a huge amount of points to plot, I think I'd go with the second method.
Simon Schmidt
2021-4-29
Adam Danz
2021-4-29
Agreed. Glad I could help.
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