maser rati wrote:

I am wondering if the delay that I reported earlier

could be due to reading the data from tuples?

it could be -- I don't remember if PlotCanvas uses numpy internally. However, as a numpy fan, I have a couple comments:

I first initialize an empty array of type numpy with

the H parameter. Then, I use the fromstring function

to string the y data from the data file

fromstring() creates an array, so there is no need to initialize one first. I take it your data is in binary unsigned short format, in which case:

y = numpy.fromstring(string, dtype=numpy.ushort)

If you're reading from a file, you can do that in one step:

y = numpy.fromfile(file, dtype=numpy.ushort, count=NumY)

If the file is a text file:

y = numpy.fromfile(file, dtype=numy.ushort, count=NumY, sep=',')

The sep parameter tells fromfile what the separator is in your text file.

I then append the

xdata to each element of the y array, creating a

series of x,y tuples, of the format

[(x1,y1),(x2,y2)....]

where does the x data come from? If it's also in a file, read it in like the y data, then put the two together like so:

Points = numpy.hstack((x.reshape(-1,1),y.reshape(-1,1)))

the reshape() calls make sure the x and y arrays are column vectors, so that when you put them together with hstack (horizontal stack), you get a NX2 array, which is what you want.

NOTE: I recommend joining the numpy mailing list, and buying the numpy book.

-Chris

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