Hi Kanika,
In the end, you will need to create 8 separate arrays, one for each channel. Then you can plot those 8 channels onto a single graph. The process you would want to go through would be like this:
1) Initialize 8 empty arrays
2) Loop through your data to populate the 8 arrays. This could look something like the following pseudocode:
files = array(); //files is an array of the 50 files you are reading from
data = array(); //data is an array of 8 arrays.
//each array represents a final averaged channel
numColumns = 8;
numPointsPerColumn = 500;
//we will populate the channels one at a time
for(i=0; i<numColumns; i++)
{
//now we loop through each point in this column
for(j=0; j<numPointsPerColumn; j++)
{
//now, we want to get the corresponding point from each file, and put
//it into an array we can use this array to get the average value
for(k=0; k<files.length(); k++)
{
//get point from (column, row) in this file
array[k] = files[k].getValueAt(i, j);
}
//we now have the averaged value for this point
double thisPoint = array.average();
data[i][j] = thisPoint;
}
}
Now, data is a 2D array which contains the values that need to be passed to your graph. This pseudocode could be implemented in either LabVIEW or Measurement Studio.
John M
National Instruments
Applications Engineer
