Marc
Marc
I think that I've fixed this. Can you try the latest master branch and report back if you still have issues? If your issue is fixed I'll push a new...
Did the redraw issue occur in interactive mode with jupyter or in a matplotlib window (or both)?
Hi, do you mean the data is in units/multiples of 4.762? The easiest solution would be just to scale the data to the integer multiple before plotting. You can overwrite...
Hi, take a look at [#75](https://github.com/marcharper/python-ternary/issues/75 ) for an example on how to color individual points. As for the normalization, you'll need to do that before plotting. I'm not sure...
> Why is it necessary to declare cm=, c= and colormap=. It's probably just an oversight because cm is passed through to matplotlib. You need `c` for the colors, `colormap`...
Thanks for the report. The reason is that `ternary` does a bit of a hack to get the colorbar on the plot and [doesn't expect a norm](https://github.com/marcharper/python-ternary/blob/master/ternary/colormapping.py#L91) to be passed...
On the latest branch, the following (nearly identical) code works for me: ``` import ternary import matplotlib.pyplot as pyplot scale, fontsize = 1, 12 figure, ax = pyplot.subplots() tax =...
I appreciate the reports but I really need more information. The matplotlib version seems to be important -- this may be an upstream issue, or something that can be worked...
That is helpful -- the labels have to be redrawn on resizing and other operations so that the angles are right. I can add more rendering hooks. If you show...
I added the label draw callback to the "draw_event" of mpl -- hopefully that causes the labels to be drawn initially as expected. The label positioning does not take much...