excel dates

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ricco
ricco el 21 de Nov. de 2011
I understand that matlab cannot read excel dates in the sense that it changes hh:mm into decimals. This being said, is there a way of importing the dates as a string so that they would remain the same as in excel? I've tried using importdata and xlsread but neither seem to be able to!
cheers

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Fangjun Jiang
Fangjun Jiang el 21 de Nov. de 2011
Use [Num,Txt,Raw]=xlsread() and then "Raw" will keep the "hh:mm" string format, then you can use datenum() to convert it.
If the format of the cells in Excel is "Time", it looks like the numerical value is imported using xlsread(). You can use datestr() to convert it back. For example:
>> [Num,Txt,Raw]=xlsread('test.xls')
Num =
0.4743
0.5160
0.5576
0.5576
Txt =
'Date' 'Time'
'12/31/1899' ''
'1/1/1900' ''
'1/2/1900' ''
'1/3/1900' ''
Raw =
'Date' 'Time'
'12/31/1899' [0.4743]
'1/1/1900' [0.5160]
'1/2/1900' [0.5576]
'1/3/1900' [0.5576]
>> datestr(Num,'HH:MM')
ans =
11:23
12:23
13:23
13:23
  4 comentarios
ricco
ricco el 21 de Nov. de 2011
that's great. How do I get to each of the time steps though? By 'get to' I mean say if
d=datestr(Num,'HH:MM')
d(1) would equal 11:23 instead at the moment d(1)=1 etc...
Fangjun Jiang
Fangjun Jiang el 21 de Nov. de 2011
d is a char array, you could use d(1,:), or do a further conversion
e=cellstr(d); e{1}

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Más respuestas (1)

Walter Roberson
Walter Roberson el 21 de Nov. de 2011
Warning: Excel represents numeric time data with a different time base than MATLAB does. There is a toolbox function that does the correction, http://www.mathworks.com/help/toolbox/finance/x2mdate.html, but you can code it yourself using the information referenced in my note in http://www.mathworks.com/matlabcentral/answers/254-converting-excel-serial-number-of-time-to-hh-mm-ss-format
  3 comentarios
Walter Roberson
Walter Roberson el 21 de Nov. de 2011
datestr(datenum('2000-03-01 15:45:17','yyyy-mm-dd HH:MM:SS'):4/(60*24):datenum('2009-10-10 10:00:00','yyyy-mm-dd HH:MM:SS'),'yyyy-mm-dd HH:MM:SS')
ricco
ricco el 21 de Nov. de 2011
awesome.

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