Create new column in Table based on conditions

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Furqan Hashim
Furqan Hashim 2020년 7월 26일
편집: Rub Ron 2020년 7월 26일
Suppose I have a Table object T with 3 columns Price, Units & Cleared. I want to create a new variable called V1 based on condition.
If Cleared == 'yes' then T.Val1 = Price * Units else Price. How can I achieve that? In python I would do something like:
df['Val1'] = np.where(df.Cleared == 'yes', df.price * df.Units, df.Price)
I've just switched from Python to MATLAB and finding it bit difficult to do that. Does MATLAB tables work same way as Pandas in Python? Do tables in MATLAB support vectorized operations?

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Rub Ron
Rub Ron 2020년 7월 26일
편집: Rub Ron 2020년 7월 26일
Cleared = {'yes';'no';'yes';'no';'yes'};
Price = [38;43;38;40;49];
Units = [71;69;64;67;64];
T = table(Cleared,Price,Units);
idY =find(strcmp(T.Cleared,'yes'));
idN =find(strcmp(T.Cleared,'no'));
T.V1(idY)=T.Price(idY).*T.Units(idY);
T.V1(idN)=T.Price(idN);
T
T =
5×4 table
Cleared Price Units V1
_______ _____ _____ ____
{'yes'} 38 71 2698
{'no' } 43 69 43
{'yes'} 38 64 2432
{'no' } 40 67 40
{'yes'} 49 64 3136
Alternatively, you also can use this:
idY =strcmp(T.Cleared,'yes');
T.V1 = T.Price.*(1+ (T.Units-1).*idY);

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