Create new column in Table based on conditions

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?

Answer 1

[Rub Ron]

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);