[SciPy-Dev] 2D histogram: request for plotting variable bin size
Thu Jan 31 09:56:22 CST 2013
On 31.01.2013 16:32, Frank Breitling wrote:
> My experience with pcolor was that is was very slow.
imshow is fast because it basically just bitblit the image. You can
always use Python (or Cython, Fortran or C) to prepare an image from
your 2D data and pass that to imshow.
I showed you can example where I used contourf. I kind of show too, but
I often just let the computer run for a while and prepare a bunch of PDF
files with the spectrums. Then I can take those into e.g. Adobe
Illustrator later on, and I will also store the wavelet data in PyTables
If I needed to render a spectrum in "real-time", I would use imshow or
OpenGL, and e.g. have my own Fortran 90 code prepare the displayed
image. I might even consider to use PyOpenGL to write vertex shaders and
have the graphics hardware do all the rendering.
So it really depends on how fast you need it to be. Python code can draw
your data with OpenGL at the full speed that your graphics hardware
allows. Or you can settle for slower but more convenient data
visualization methods like pcolor and contourf. Or you can do something
But as for the question you asked (how to draw a 2D historgram), pcolor
does exactly that. I did not say it will be fast for huge data sets. I
thought you were used to e.g. Matlab and wanted something like image or
imagesc, and then found imshow but overlooked pcolor.
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