when I using readtable to read .csv file all variable data get mixed, what are the reason for this and provide proper solution for this

 Accepted Answer

There is no need to change the file format when you can simply specify the delimiter when importing:
T = readtable('daily_cloud_free_data.csv', 'Delimiter',',')
T = 761×2 table
date net_r ___________________ ______ 22.12.2018 00:00:00 319.74 23.12.2018 00:00:00 NaN 24.12.2018 00:00:00 333.44 25.12.2018 00:00:00 NaN 26.12.2018 00:00:00 NaN 27.12.2018 00:00:00 NaN 28.12.2018 00:00:00 NaN 29.12.2018 00:00:00 NaN 30.12.2018 00:00:00 NaN 31.12.2018 00:00:00 NaN 01.01.2019 00:00:00 NaN 02.01.2019 00:00:00 NaN 03.01.2019 00:00:00 NaN 04.01.2019 00:00:00 NaN 05.01.2019 00:00:00 NaN 06.01.2019 00:00:00 306.17
T = rmmissing(T)
T = 95×2 table
date net_r ___________________ ______ 22.12.2018 00:00:00 319.74 24.12.2018 00:00:00 333.44 06.01.2019 00:00:00 306.17 21.01.2019 00:00:00 272.1 25.01.2019 00:00:00 272.29 31.01.2019 00:00:00 221.75 16.02.2019 00:00:00 181.23 17.02.2019 00:00:00 175.04 18.02.2019 00:00:00 168.95 27.02.2019 00:00:00 145.91 01.03.2019 00:00:00 132.16 03.03.2019 00:00:00 129.37 05.03.2019 00:00:00 117.97 07.03.2019 00:00:00 111.59 08.03.2019 00:00:00 110.01 11.03.2019 00:00:00 99.042

More Answers (1)

Try this format, in my work it works well :)
T = readtable('Acceleration with g 2023-03-15 23-30-50.xls');
time = (T(:,1)); % column 1
Acc = (T(:,4)); % column 4
time = table2array(time); % column 1 vector
Acc = table2array(Acc); % column 4 vector

1 Comment

This code:
time = (T(:,1));
Acc = (T(:,4));
time = table2array(time);
Acc = table2array(Acc);
is simpler using the correct curly-brace indexing:
time = T{:,1};
Acc = T{:,4};

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Asked:

on 21 Mar 2023

Commented:

on 21 Mar 2023

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