- Read in the data (see readtable)
- Use groupcounts to find exact duplicate population sizes
- Use indexing to return the city names that have matches
Return variables or elements with similar corresponding values
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Hi all,
I have an excel sheet with two columns. It's basically a list of big cities in the world and the population of each one of them. I want to extract the cities that have the same population is there any MATLAB function can do that? I searched and can't find the right function. I would really appreciate any help. The file is attached.
Thanks in advance
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Adam Danz
2021-4-13
I'm currious what you searched for. Are you looking for a Matlab function that reads in an excel file that has two columns of data and returns the values in column 1 that have matching values in column 2? That would be a really specific function.
Here's the steps you need to take. If you get stuck, show us what you've got and we can help you get unstuck.
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Adam Danz
2021-4-14
No disrespect take. "It didn't work" are among the 3 most common words in many replies in this forum but they usually mean I didn't understand or I couldn't implement the solution 😁.
I assume you figured out the rest of the solution so I'll update my previous comment to fill in the blanks.
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David Fletcher
2021-4-13
编辑:David Fletcher
2021-4-13
Essentially you would subtract a square matrix formed from the list of populations copied to form a square matrix and subtract the transpose of the same matrix to give the population of every city subtracted from every other cities' population. You can then search that matrix for zero values (if you want exact population matches), or visualize it.
populations=File{:,2};
popMatrix=repmat(populations,1,86); %Extract population list and copy to form square matrix
comparison=popMatrix-popMatrix'; %subtract transposed matrix to give population of every city subtracted from every other city
comparison=abs(comparison)
heatmap(comparison,'ColorMethod','none','ColorScaling','log') %visualize data
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David Fletcher
2021-4-14
编辑:David Fletcher
2021-4-14
Just relearning Matlab after a long absence, so I'm a bit rusty, though I'm not sure I was aware of the implicit expansion trick the last time I had to use this package, so thanks for that. The abs was originally because I thought it might better facilitate a tolerance search for values close to zero rather than rely on having two populations to be exactly the same, but the OP seemed definite that he wanted exact matches so I didn't bother mentioning it, but left the line in. Anyway, thanks for your input.
Adam Danz
2021-4-14
Implicit expansion came out in r2016b.
And welcome back! :)
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