File-loop, for loop,importing excel data

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GH
GH 2020 年 6 月 21 日
編集済み: Mara 2020 年 6 月 21 日
Hi everyone,
I have the following code, I have problem with the read-in-for-loops.
-I would like to read in several .csv files then export them separetly to excels -even different sheets is okay (it would be great to have the same title/name)
-then I would like to import/read-in these new excel files and work with the 16th column to find local maximas.
I know it's fulll with mistakes, and I am sorry about that, I am really new to MatLab coding I am studying it by myself, so please instead of judging the code, could you help me out?
I would really appraciate any help, thanks in advance, Grace.
  4 件のコメント
Mara
Mara 2020 年 6 月 21 日
編集済み: Mara 2020 年 6 月 21 日
Dear Grace, I do not understand why you want to export it to excel and import it again to have numerical values. Is the first import into MATLAB only to change the file format?
I am sure you can quickly convert it in MATLAB, too. For example if you have strings, you can use "str2double" or "str2num". In order to help you there specifically and get the import right, I would have to see one of your csv files as an example.
I could not run your code as I do not have your .csv but think that the second half can be shortened a lot by still doing what you want:
for ii = 1: excel_files
data = xlsread('csv2excel.xls'); % should be returned as a matrix already
[rows, columns] = size(data); % The size of the matrix (the number of
% elements is the same for all columns
% in a matrix, also nr 16)
is_max_rows = islocalmax(data(:,16)) % logical vector of all local max in
% column 16
local_max_col_16 = data(is_max_rows, 16) % value of local maxima in column 16
[rowsWith50, colsWith50] = find(data == 50); % Find out all the rows/cols that have a 50
% in them.
theMax = max(data(:,unique(colsWith50))) % get the max of the columns with a 50
% without repetition of the columns with
% 2x or more 50
end
Best,
Mara
GH
GH 2020 年 6 月 21 日
Hi, yes, I know the csvread doesn't work on string and numeric data combined in a csv file, and I only knew a method which can change the value of any cell in an excel format, so, yes, I only export it to excel then back because of the text data has to be gone, to deal with the dataset as a matrix (i attached the file, you can see it is not a header, cause only the first two cells are texts)
Altough even if I don't have to convert it to excel first then back, I still have no idea how to make the for loop to work, to read in all the files(there are 6 .csv files in one folder)
Thank you so much for your advice anyways

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Mara
Mara 2020 年 6 月 21 日
編集済み: Mara 2020 年 6 月 21 日
%Read each CSV file, change the text data to numeric and work with it
clear;
clc;
dirroot='C:\Documents\Excel\';
for L=1:2
dirname = [dirroot, 'L', num2str(L)];
files = dir([dirname,'*.csv']); % Listing all files in the given
% directory with the extension of csv
filenames = {files.name};
for i=1:size(filenames, 2) % load all the csv files separately
t = readtable(string(filenames{i})); % Give me the csv file in a table
t.Var1 = str2double(string(t.Var1)); % convert the first 2 variables from characters in cells to doubles
t.Var2 = str2double(string(t.Var2)); % text is replaced by NaN (not a number)
data = table2array (t); % convert to double array
[rows, columns] = size(data); % The size of the matrix (the number of
% elements is the same for all columns
% in a matrix, also nr 16)
is_max_rows = islocalmax(data(:,16)) % logical vector of all local max in
% column 16
local_max_col_16 = data(is_max_rows, 16) % value of local maxima in column 16
[rowsWith50, colsWith50] = find(data == 50); % Find out all the rows/cols that have a 50
% in them.
theMax = max(data(:,unique(colsWith50))) % get the max of the columns with a 50
% without repetition of the columns with
% 2x or more 50
save([dirname, 'results_L_', num2str(L), '_dataset_', num2str(i)]); % save data
end
end
It might not be the most elegant way how I did it, either. But it should work if the structure of all the files is the same (text in first 2 columns).
But lmk how you get along!

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