Merge table with different rows

I have two files with different rows but with the same number of columns and I want to combine it together but I am getting an error * All tables in the bracketed expression must have the same number of rows. *
file1 = readtable('306K-268K.csv'); file2 = readtable('266K-228K.csv'); Com = [file1 file2];
Thanks a lot for the help

 采纳的回答

You probably want the outerjoin (link) function:
Com = outerjoin(file1,file2);
See if that does what you want.

4 个评论

Thanks but it is adding extra NAN in each row
The outerjoin function has additional arguments that you can use that could provide the result you want. It appears to be the only one of that group of functions that is compatible with your data.
Thanks very much for this solution, have always wanted it. It works perfectly

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更多回答(4 个)

madhan ravi
madhan ravi 2018-11-2
编辑:madhan ravi 2018-11-17
You can't merge table with different number of size dimensions , use structure instead

8 个评论

thanks, let us say I have two sets A and B which looks like this
A =
1.38E-01 -1.02E-05 -8.81E-02
1.54E-01 NaN -5.51E-02
6.41E+01 7.83E-06 1.09E+02
B =
1.38E-01 -1.02E-05 -8.81E-02
1.54E-01 NaN -5.51E-02
answer=
here A and B are side by side
1.38E-01 -1.02E-05 -8.81E-02 1.38E-01 -1.02E-05 -8.81E-02
1.54E-01 NaN -5.51E-02 1.54E-01 NaN -5.51E-02
6.41E+01 7.83E-06 1.09E+02
A = [1.38E-01 -1.02E-05 -8.81E-02
1.54E-01 NaN -5.51E-02
6.41E+01 7.83E-06 1.09E+02 ]
B = [1.38E-01 -1.02E-05 -8.81E-02
1.54E-01 NaN -5.51E-02 ;
zeros(1,size(A,2))] %PADDED WITH ZEROS because matrix dimensions should be the same when concatenated
side_by_side=[A B]
Thanks a lot, I made a mistake in asking question to you, actually A and B are csv file. for example if you follow thread on the top, you will find that I have attched two files
file1 = readtable('306K-268K.csv');
file2 = readtable('266K-228K.csv');
I wanted to combine file1 (dim is 642*40) and file2(681*40)
Thanks
file1 = readtable('306K-268K.csv');
file2 = readtable('266K-228K.csv');
A=table2array(file1);
B=table2array(file2);
size(A)
size(B)
A=[A;zeros(size(B,1)-size(A,1),size(B,2))];
side_by_side = [A B]
size(side_by_side) %should be 681*80 if it is then we have achieved it
Thanks, but I was thinking more of a genral solution, because I have 7 files like this, all of which have a differnt rows but the number of coloumns are same.
A=[A;zeros(abs(size(B,1)-size(A,1)),size(B,2))];

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You're missing a semi-colon to invoke vertical concatenation ('vertcat') rather than default horizontal concatenation ('horzcat').
For instance, two tables with different number of rows (but same number of columns), this does NOT work:
myBigTable = [myTable1 myTable2];
But this does:
myBigTable = [myTable1; myTable2];
I was facing a similar problem when storing tables of different lengths in a cell array.
myTables{1} = myTable1;
myTables{2} = myTable2;
and using
bigTable = [myTables{:}]
did not work because unwrapping and concatenating cell contents invoked horizontal concatenation. You can't just stick a semi-colon in there, so I had to explicitly invoke vertical concatenation like this:
bigTable = vertcat(myTables{:});

2 个评论

Thanks for the help
but I want to place my file1 and file2 side by side. That means it should give me the data like horizcat
Ah I see. Then yeah, tables of different length would be a problem.

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the cyclist
the cyclist 2018-11-2
I'm guessing you need the join command.

1 个评论

I have some NAN values in my column so I am getting this error The key variables for A and B cannot contain any missing values.

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"Merge" is kind of vague. It may be that you just need to add a semicolon to vertically concatenate:
Com = [file1; file2]

3 个评论

Thanks a lot but I want to place to data side by side not above and below
HabenG
HabenG 2021-11-3
编辑:HabenG 2021-11-3
Have you figured out the issues?? seems like there is no way to simply combine columns of different size matrrix, table, array etc...i feel like there should be a simple fuction for this
The current way to do this is to create the same number of rows in the smaller matrix/table/whatever. That's already been shown in an earlier reply.

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