Box plot with categorical axis - without LaTex interpreter

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I have a box plot for the prices of 8 different varieties of apples, the 8 distinct varieties are contained in 'variety' column of S_apples
I would like to label the x-axis by those 8 varieties.
Here's my code:
T=readtable('fruitvegprices2.csv');
items={'apples','pears','carrots','cabbage'};
%apples
[idx,ia] = ismember(T.(2),items{1});
T_apples = T(idx,{'item','variety'});% this gives table of apples alone
S_apples=unique(T_apples,'stable') %distinct varieties of apples
A=sortrows(T(idx,{'variety','price'})) %grouping the varieties together
C=cell(length(S_apples.variety),1);%column i=prices of variety i
for i=1:length(S_apples.variety)
[c,d]=ismember(A.variety,S_apples.(2){i});
for k=1:length(A(c,:).price)
C{k,i}=A(c,:).price(k);
end
end
C(find(cellfun(@isempty,C)))={nan};
boxchart(cell2mat(C))
xlabel('Variety')
ylabel('Price')
I've tried creating categorical variables:
axis=categorical(cell2mat(C),1:8,S_apples.variety);
plot=boxchart(axis,cell2mat(C))
but it doesn't seem to work, it says: passing xgroup data isn't supported when ydata is a matrix.
How can I fix this?
Thank you very much!
  2 Commenti
dpb
dpb il 13 Dic 2021
I could make up an example, but it would be much simpler and more directly applicable to your case if you would attach the table T as a .mat file -- or the original input file.
Achuan Chen
Achuan Chen il 13 Dic 2021
I've atteached it. Sorry I forgot to do so.

Accedi per commentare.

Risposta accettata

dpb
dpb il 14 Dic 2021
Modificato: dpb il 14 Dic 2021
Much easier now... :)
optFV=detectImportOptions('fruitvegprices.csv') % lets you then set the input variable type
optFV.VariableTypes(contains(optFV.VariableTypes,'char'))={'categorical'}; % to categorical for the string data
tFV=readtable('fruitvegprices.csv',optFV); % then use import object to read table
ia=tFV.item=='apples'; % select apples only
boxplot(tFV.price(ia),tFV.variety(ia)) % and then plot them
hAx=gca; % get the axes handle
hAx.XTickLabelRotation=45; % so can read labels
Moral -- primarily is one of "use the table, Luke!" :) Once you have a table, use the addressing modes to select data from the table as needed; don't waste time, code and memory creating all kinds of superfluous variables that are just copies of the data you already have.
There's a link at bottom of the reference page on the table data type that outlines all the myriad addressing syntax options.
Also, for data such as these, you'll want to explore groupsummary, rowfun and the general category of grouping variables and the splitapply workflow.

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