Hi group,
I have a rather simple problem, or so it would seem. However I cannot
seem to find the right solution. Here's the problem:
A Geiger counter measures counts in distinct time intervals. The time
intervals are not of constant length. Imaging for example that the
counter would always create
Hello list,
is there some possibilty to get a p-dynamic of an array, i.e. if p=1
then the result would be (arr.min(), arr.max()), but if 0 < p < 1, then
the result is so that the pth percentile of the picture is withing the
range given?
I cannot explain this very well, so please let me illustrate
Hello list,
I have a really simple newbie question: How can I mirror/flip a
numpy.ndarray? I.e. mirror switches the colums (leftmost becomes
rightmost and so on), flip changes the rows (top becomes bottom and so on)?
Kind regards,
Joe
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NumPy-Discussi
Zachary Pincus schrieb:
> scipy.ndimage.zoom (and related interpolation functions) would be a
> good bet -- different orders of interpolation are available, too,
> which can be useful.
Thanks a lot - exactly what I was looking for!
Kind regards,
Johannes
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Hello list,
is there a possibility to scale an array by interpolation,
automatically? For illustration a 1D-example would be an array of size
5, which is scaled to size 3:
before: [ 1, 2, 3, 4, 5 ]
1/1 2/3
1/3 1 1/3
2/3 1
after : [ 2.
Hi Zach,
Zachary Pincus schrieb:
> According to http://www.pygtk.org/pygtk2reference/class-
> gdkpixbuf.html , the pixels_array is a numeric python array (a
> predecessor to numpy). The upshot is that perhaps the nice
> broadcasting machinery will work fine:
>
> pb_pixels[...] = fits_pixels
Hello group,
I've been redicted from usenet ("Convert numpy.ndarray into "normal"
array", <75dgm1f16hqn...@mid.dfncis.de>) here and hope this is the right
place.
Basically, what I have is a numpy-Array which I got from a FITS-file
(it's black/white). I want to display that using GTK. Therefore ev
