MATLAB 条 plot 的频率

Question

I have the following code which counts the number of 'negatives' for each unique ID.

clc
clear
close all

data = {
'vajbfch07wu11y90'  'negative'
'ekvpmhqybu920hnr'  'negative'
'eddbdv5bsqggeydq'  'negative'
'eddbdv5bsqggeydq'  'negative'
'eddbdv5bsqggeydq'  'negative'
'eddbdv5bsqggeydq'  'negative'
'eddbdv5bsqggeydq'  'negative'
'eddbdv5bsqggeydq'  'negative'
'6vmhbj7041fe7xck'  'negative'
'6vmhbj7041fe7xck'  'negative'
'6vmhbj7041fe7xck'  'negative'
'6vmhbj7041fe7xck'  'negative'
'j5d6dgzbeynyyg02'  'negative'
'j5d6dgzbeynyyg02'  'negative'
'j5d6dgzbeynyyg02'  'negative'
'v21tstcp164uya6g'  'negative'
'v21tstcp164uya6g'  'negative'
'brjmfpunj00rn92c'  'negative'
'brjmfpunj00rn92c'  'negative'
'mb8nggnegcwq9nqc'  'negative'
'vk4ga34492m01hwv'  'negative'
'vk4ga34492m01hwv'  'negative'
'vk4ga34492m01hwv'  'negative'
'vk4ga34492m01hwv'  'negative'
'd9hk2zeexhxp2h0v'  'negative'
'f93xk5sq60ehp34j'  'negative'
'f93xk5sq60ehp34j'  'negative'
'ypzzn212hqvwjtc9'  'negative'
'0q2mmnq0wb97z7bm'  'negative'
'jh8k1dd9g2p2d218'  'negative'
'2e5tr0scw89z68kg'  'negative'
'2e5tr0scw89z68kg'  'negative'
'5zb72reqnsxnzuca'  'negative'
'5zb72reqnsxnzuca'  'negative'
'5zb72reqnsxnzuca'  'negative' };

c = categorical(data(:, 1));
[categories(c), num2cell(countcats(c))]

the output is this:

'0q2mmnq0wb97z7bm'  1
'2e5tr0scw89z68kg'  2
'5zb72reqnsxnzuca'  3
'6vmhbj7041fe7xck'  4
'brjmfpunj00rn92c'  2
'd9hk2zeexhxp2h0v'  1
'eddbdv5bsqggeydq'  6
'ekvpmhqybu920hnr'  1
'f93xk5sq60ehp34j'  2
'j5d6dgzbeynyyg02'  3
'jh8k1dd9g2p2d218'  1
'mb8nggnegcwq9nqc'  1
'v21tstcp164uya6g'  2
'vajbfch07wu11y90'  1
'vk4ga34492m01hwv'  4
'ypzzn212hqvwjtc9'  1

I want to generate a bar plot of this output, which shows how many ID's have a count of at least 1, how many ID's have a count of at least 2, how many ID's have a count of at least 3...

How do i do this?

at the moment my bar plot looks like this which isn't what I want

barh(countcats(c)); set(gca, 'YTickLabels', categories(c))

Answer 1

There are two things which are relevant in this case; yticks and yticklabels . In order to display 16 yticklabels , you need to have 16 xticks defined before using the yticklabels .

barh(countcats(c));
yticks(1:numel(countcats(c)));
yticklabels(categories(c));