[Matplotlib-users] Is there interrest for an implementation of colour maps visualising small differences around 0

Hi I've created a python method for making a jet colour map which clearly shows small changes around a given point in the colour map, (i.e. the opposite of a diverging colour map http://www.sandia.gov/~kmorel/documents/ColorMaps/ ). This looks something like figure four on:

Re: [Matplotlib-users] Animate on Mac O$

Hi Ryan, In matplotlib, drawing is done as part of the call to figure.draw(renderer). The MacOSX backend makes this call from the event loop callback (i.e., the drawRect function in src/_macosx.m). Outside of the event loop callback, the graphics context (CGContextRef on Macs) is undefined, and

Re: [Matplotlib-users] Is there interrest for an implementation of colour maps visualising small differences around 0

Pål, Matplotlib already has a jet colormap and has moved away from using it as the default for the very reasons listed in the first paper you site. How is your jet colormap different? Can you provide a comparison with the existing colormap? Does it overcome the drawbacks listed in the Sandia

Re: [Matplotlib-users] Is there interrest for an implementation of colour maps visualising small differences around 0

Hi Paul I'm aware that matplotlib has moved away from the jet map, which in most cases I would agree is a good thing. My map is not a replacement for the jet colourmap, or any other colourmap. My map is the inverse of the diverging colourmaps, seeking to enhance small changes around a certain

Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use

I have used Anaconda with my students because it installs a standard environment on all platforms, it works very well and is easy to install. I have also tried to Enthought Canopy but swicthed to Anaconda because Anaconda was as simple to use, came with hfewer restrictions and in my experience