Eric Firing wrote:
You can post-process the image with something like ImageMagick.
Another alternative is to use PIL -- you can grab the matplotlib buffer,
make a PIL image out of it, and use PIL to convert to an 8-bit palleted
image.
For that matter, you could probably bypass MPL, and use
j vickroy wrote:
Thanks much for this information and also for taking the additional time
to try the optipng tool. It is very helpful.
Since the above mentioned PNG generation is one step in a near
real-time products generation system, I was hoping to avoid the addition
of another
Hello,
Apologies for reposting my question from yesterday (save image as
color-mapped 8-bit rather than true-color). I am hoping this
reposting clarifies what I am trying to accomplish.
The attachment is a simple script that creates a 2D array of unsigned,
8-bit integers and uses
Jim Vickroy wrote:
The attachment is a simple script that creates a 2D array of unsigned,
8-bit integers and uses matplotlib to save it as a PNG file.
Unfortunately, the PNG file is much larger than expected -- apparently
because it is True-Color; on my MS Windows machine, bit depth, for
Christopher Barker wrote:
Jim Vickroy wrote:
The attachment is a simple script that creates a 2D array of unsigned,
8-bit integers and uses matplotlib to save it as a PNG file.
Unfortunately, the PNG file is much larger than expected -- apparently
because it is True-Color; on my MS
On 07/22/2010 03:40 PM, j vickroy wrote:
Christopher Barker wrote:
Jim Vickroy wrote:
The attachment is a simple script that creates a 2D array of unsigned,
8-bit integers and uses matplotlib to save it as a PNG file.
Unfortunately, the PNG file is much larger than expected -- apparently
You can post-process the image with something like ImageMagick.
Another alternative is to use PIL -- you can grab the matplotlib buffer,
make a PIL image out of it, and use PIL to convert to an 8-bit palleted
image.
For that matter, you could probably bypass MPL, and use numpy to create
