This might be a fun one. I want to import large quantities of data that looks like the MKE.txt file attached. It is weather data from ASOS, so some columns are text and others are numerical. Column 4 has both. If it rains a milimeter, it will read "1.00", and if there is no rain, it will read "M" for missing. I'm stuggling to set up the textscan function in a way that will allow me to analyze the numerical values and treat the Ms as Nan values or Zeros.
Here is what I have so far.
filename='MKE.txt';delimiter = ',';startRow = 2;endRow = 50;formatSpec2='%s %s %f %f %s';fileID = fopen('MKE.txt','r');dataArray = textscan(fileID, formatSpec2, endRow-startRow+1, 'Delimiter', delimiter, 'MultipleDelimsAsOne', true, 'HeaderLines', startRow-1, 'ReturnOnError', false);dMKE=datenum(dataArray{2})
Since the 4th column has "M"s where textscan is expecting numbers, I get this error:
"Error using textscan
Mismatch between file and format string.
Trouble reading 'Numeric' field from file (row number 1, field number 4) ==> M,M\n"
I have also tried changing the %f to %s for the 4th column and using the last line of code to convert whatever was imported to the useable data I'm looking for.
formatSpec2='%s %s %f %s %s';fileID = fopen('MKE.txt','r');dataArray = textscan(fileID, formatSpec2, endRow-startRow+1, 'Delimiter', delimiter, 'MultipleDelimsAsOne', true, 'HeaderLines', startRow-1, 'ReturnOnError', false);dMKE=datenum(dataArray{2})dataArray{4}(isstring(dataArray{4})==1)=NaN;
This reports the error:
"Conversion to cell from double is not possible."
Thank you for your help and advice.
Best Answer