Move a portion of one table into another, smaller, table.

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I have two large csv files which I have imported using readtable. The contain related data but one has many more rows than the other. I have a common column between the two. I want to pull variables from the larger one at instances where the common column matches between the two tables. Forgive my syntax a bit here since I do not have matlab on the computer I am writing the question from.
table_A.VariableNames={'x' 'y' 'z'}
table_A=[.98 .3 .9;
.94 .1 .3;
.67 .1 .3;
.56 .7 .4;
.72 .4 .3;
.64 .6 .2]
table_B.VariableNames={'x' 'q' 'e'}
table_B=[.98 -.201 -.239;
.72 -2.18 -0.05;
.67 -.228 -1.28]
So in the given example I want to take the values of y and z, in table A, where x values match those in table B, and append them onto table B. I attempted to create a logical index vector with;
X_needed=table_A.x==table_B.x
I would then use that index vector to create a table with the desired values of y and z to append onto table B.
However, when I try this I get the error that "matrix dimensions must agree". I think I can reach the solution with a loop, but there must be a better way to solve this.
Thanks for any help provided.

Risposta accettata

Voss
Voss il 14 Ott 2022
table_A = array2table([ ...
.98 .3 .9;
.94 .1 .3;
.67 .1 .3;
.56 .7 .4;
.72 .4 .3;
.64 .6 .2], ...
'VariableNames',{'x' 'y' 'z'})
table_A = 6×3 table
x y z ____ ___ ___ 0.98 0.3 0.9 0.94 0.1 0.3 0.67 0.1 0.3 0.56 0.7 0.4 0.72 0.4 0.3 0.64 0.6 0.2
table_B = array2table([ ...
.98 -.201 -.239;
.72 -2.18 -0.05;
.67 -.228 -1.28], ...
'VariableNames',{'x' 'q' 'e'})
table_B = 3×3 table
x q e ____ ______ ______ 0.98 -0.201 -0.239 0.72 -2.18 -0.05 0.67 -0.228 -1.28
[~,idx] = ismember(table_B.x,table_A.x);
table_B{:,{'y' 'z'}} = table_A{idx,{'y' 'z'}};
disp(table_B);
x q e y z ____ ______ ______ ___ ___ 0.98 -0.201 -0.239 0.3 0.9 0.72 -2.18 -0.05 0.4 0.3 0.67 -0.228 -1.28 0.1 0.3
  2 Commenti
Steve K
Steve K il 17 Ott 2022
So this definitely would have worked. Except I learned that my data doesn't have the matching column that I thought it did.

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