Merging two categorical columns using a rule
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Hi,
I am wanting to merge/add 2 categorical columns but need to use a rule.
For example a= [Flowering not not not], b=[not not not budburst] and I want the final output to be c=[Flowering not not Budburst]?
Basically, when merging/adding the two vectors, I want the word "flowering" or "budburst" to take precedence over "not". "Flowering" will never clash with "budburst" and "not "not" would give a "not".
Thanks, Wendy
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Ameer Hamza
2018-5-11
编辑:Ameer Hamza
2018-5-11
Here is one way
% Extracting data from yor file
data = readtable('phenology.xls');
a = categorical(data.A);
b = categorical(data.B);
% preparing default output vector
c = categorical(repmat({'not'}, size(a)));
indA = ~ismember(a, 'not');
indB = ~ismember(b, 'not');
c(indA) = a(indA);
c(indB) = b(indB);
isequal(c, data.C)
ans =
1 <--- The generated c is same as in your xls file.
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更多回答(3 个)
Greg
2018-5-11
Make your categorical array ordinal (with "not" as the lowest value), then use c = max(a,b). This is only guaranteed to work since you said valid values won't conflict.
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Greg
2018-5-12
Basically, you specify the valueset (allowable entries) in order of smallest to largest:
valueset = {'not';'Budburst';'Flowering'};
var = categorical(a,valueset,'ordinal');
Wendy Cameron
2018-5-11
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Ameer Hamza
2018-5-11
I just tested my code with your data and it is giving correct output. Can you tell which line is creating the error? Refer to my edited answer to see how to read data from the xls file.
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