Remove last row from csv using csvread

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Ted Baker
Ted Baker 2020-4-19
评论： Adam Danz 2020-4-19
Hi, I have the following code to read all the csv files in a directory.
close all;
csvfiles = dir('*.csv');
for file = csvfiles'
datafromfile = csvread(file.name, 17, 0);
freq = datafromfile(:,1);
power = datafromfile(:,2);
end
However, the csv files contain a cell with END in the last cell, as follows. This results in an error when the script runs.
HEADER HEADER HEADER
HEADER HEADER HEADER
29950250 3.46649905459066 0 0 0
30000000 5.23598452822347 0 0 0
END
How can I remove the last element/row from the csv so the script runs?
EDIT: I've included an example csv file.

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Adam Danz
Adam Danz 2020-4-19
编辑：Adam Danz 2020-4-19
If you must use csvread() and you know the rows and columns of the file that should be read, use the following syntax to limit the section of the file that is read into Matlab.
M = csvread(filename,R1,C1,[R1 C1 R2 C2]) r
However, if you're using a recent release of Matlab, consider using readtable() instead of csvread().
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Ted Baker
Ted Baker 2020-4-19
Apologies, I had a brain fart moment. For reference my final code is:
close all;
csvfiles = dir('*.csv');
for file = csvfiles'
filelines = strtrim(strsplit(fileread(file.name), newline()));
startstop = find(ismember(upper(filelines), {'BEGIN','END'})) - [0,2];
T = csvread(file.name, startstop(1), 0, [startstop(1) 0 startstop(2) 4]);
freq = T(:,1);
power = T(:,2);
end
Massive thank you Adam.
Adam Danz
Adam Danz 2020-4-19
"I see the data is stored in cells as a comma-delimited string. "
That's true of some of the lines but not all of them.
filelines(1) % not true
ans =
1×1 cell array
{'! FILETYPE CSV'}
filelines(200) % true
ans =
1×1 cell array
{'1137500081.75,10.3549267889657,0,0,0'}
"Is there a quick way of putting the first and second elements of this into variables "
That's what the csvread is doing. To isolate only col 1 and only col 2
freq = csvread('FILE1_.csv', 17, 0, [17 0 417 0]); % col 1
pow = csvread('FILE1_.csv', 17, 1, [17 1 417 1]); % col 2
Although tables are usually a way to keep data organized.
T = csvread('FILE1_.csv', 17, 0, [17 0 417 1]);
Tbl = array2table(T,'VariableNames',{'freq','pow'})
head(Tbl) % Check out the first few rows
Technically you could do it directly from the filelines cell array but it's messy.

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