I have cells saved as Data
, Date
, Lat
, Lon
, and uID
. There are 1210 cells and each cell has either 365 or 366 days. The 1210 cells are the total number of sites for 2008-2014 (so there are a lot of repeats - for a site that has data from 2008-2014, it would show up 7 times). The 365 or 366 rows in each of these cells are the data for one year for that location for the years.
How can I find the indexes where the the Date matches and concatenate all the Data
, uID
, Lat
, and Lon
into on column? Right now, Data{i} would have the data for one site for one year, but I want to combine the data, lat, and lon information for one day into separate Data
, Lat
, and Lon
columns, then move on to the next cell, which would have that information for the next day. That way, I can eventually plot the data in one day by just running through the columns.
Sample of a few cells
Data
Size 1x1210
Data{366}(1:14)
Size 366x1
Small sample:
'8'
'10.9'
'9.7'
'8.9'
'10.2'
'8.8'
'13.5'
'6.7'
'10'
'15.8'
'11.6'
'12.9'
'11.8'
'10.2'
Date{366}(1:14)
Same size as Data
'01-Jan-2011'
'02-Jan-2011'
'03-Jan-2011'
'04-Jan-2011'
'05-Jan-2011'
'06-Jan-2011'
'07-Jan-2011'
'08-Jan-2011'
'09-Jan-2011'
'10-Jan-2011'
'11-Jan-2011'
'12-Jan-2011'
'13-Jan-2011'
'14-Jan-2011'
This would be for one uID
. So the uID{366}
would be '06-019-5001'. For uID{367}
, the dates would be the same, but the Data{367}
values would be different.
I would want to find all of the cases where Date
= '01-Jan-2011' since for each uID
, there would be a Date
= '01-Jan-2011' and a different Data
, Lat
, and Lon
. Then, I would concatenate all of them into a column with the Data
on that day (Same for Lat and Lon, but since they are the same size, it would be the same process)