I'm wondering about whether the convention that matplotlib
adopts for image display is the the standard expected for
science and engineering. When an image is displayed,
index 0,0 appears at the top left. While that is the standard
conventions for most computer graphics, it isn't in astronomy
(we usually expect it to be bottom left). Are there others
that expect the way it behaves now?
While I'm at it, does anyone else need to display images as
raw pixel dumps (every pixel in the image matches the
display pixel) without trying to match axes? This is very
common in astronomy (I understand that this is effectively
not really using matplotlib to do graphics, but rather as
a simple image display window, but this is something
astronomers are used to doing for data inspection, and
it would be nice to be able to do this within matplotlib as it
is for IDL). My guess is that a raw image display function
would be figure-oriented (as opposed to axes-oriented as it
is for the current one).
Perry
Perry Greenfield wrote:
I'm wondering about whether the convention that matplotlib adopts for image display is the the standard expected for
science and engineering. When an image is displayed,
index 0,0 appears at the top left. While that is the standard
conventions for most computer graphics, it isn't in astronomy (we usually expect it to be bottom left). Are there others
that expect the way it behaves now?
OpenGL also has 0,0 at the lower left, so that's what I've come to expect. In fact, I'm not sure that an upper left origin "is the standard convention for most computer graphics." I certainly vote for positive values increasing upward and rightward...
While I'm at it, does anyone else need to display images as
raw pixel dumps (every pixel in the image matches the
display pixel) without trying to match axes? This is very
common in astronomy (I understand that this is effectively
not really using matplotlib to do graphics, but rather as
a simple image display window, but this is something
astronomers are used to doing for data inspection, and
it would be nice to be able to do this within matplotlib as it
is for IDL). My guess is that a raw image display function
would be figure-oriented (as opposed to axes-oriented as it
is for the current one).
It sounds like a fine idea, but I'm personally in no need of this ability right now.