Hi,
I am kinda struggeling with a simple problem. I am trying plot the data of a table; but i can't get seem to conver the data into numbers and plot them.
The table looks like this.
Date Data1 Data2
________________ _____________ ____________
'12-07-2018 21:45' '-233.05' '-221.68'
'12-07-2018 22:00' '-233.33' '-231.18'
'12-07-2018 22:15' '-232.67' '-227.91'
'12-07-2018 22:30' '-232.95' '-226.35'
'12-07-2018 22:45' '-233.18' '-226.14'
'12-07-2018 23:00' '-233.02' '-228.94'
I tried using str2num etc. but nothing works.

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Peter Perkins
Peter Perkins 2019년 6월 7일
Kojiro answered the question per se, but the real question is how you ended up with that table to begin with. If you have a CSV file, or a spreadsheet, you should use readtable (or in recent versions readtimetable). That would typically give you a table with a datetime and two doubles.
There may be something funny in your file, though.
Tim W.
Tim W. 2019년 6월 7일
You are correct, normaly it should give me one row with a datetime and x-number of collums as numbers. The Problem is just that I am having multiple csv files and they all start at the same date, but certain instruments did start their measurments. This means some files have no number for the first thousands rows or so (just the date).
If there is no number in the first row Matlab seems to think the whole collum must be characters.
Peter Perkins
Peter Perkins 2019년 6월 19일
If you are using readtable, use detectimportoptions and force the column to be read in as numeric. A simpler version is to specify the Format parameter.

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Kojiro Saito
Kojiro Saito 2019년 6월 5일

0 개 추천

You can convert cell arrays which contain characters using str2double. Here is a sample code.
% Convert to datetime
data2.Date = datetime(data2.Date, 'InputFormat', 'MM-dd-yyyy HH:mm');
% Convert to double
data2.Data1 = str2double(data2.Data1);
data2.Data2 = str2double(data2.Data2);
plot(data2.Date,data2.Data1,'DisplayName','data2.Data1');
hold on;
plot(data2.Date,data2.Data2,'DisplayName','data2.Data2');
hold off;
legend

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도움말 센터File Exchange에서 Data Type Conversion에 대해 자세히 알아보기

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2019년 6월 5일

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2019년 6월 19일

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