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

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Ritesh
Ritesh 2023-3-21
评论： Stephen23 2023-3-21
data3 = readtable('daily_cloud_free_data.csv');

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Stephen23
Stephen23 2023-3-21
Ran in:
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

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aakash dewangan
aakash dewangan 2023-3-21
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

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