Benoit Donnet wrote:
> Hey guys,
>
> I'm trying to plot quantiles information (percentile 10, 25, 50, 75
> and 90). Attached, you'll find a jpged of what I would like to do
> (this was done using Gnuplot): the vertical line delineates the range
> from the 10th to the 90th percentile. Small tic
Nicolas wrote:
> I think however matplotlib may be used only (and it will be even better
> as I plan to make a Qt version in the future)
good idea.
> So, in :
> >>> from matplotlib.transforms import Value
> >>> from matplotlib.backends.backend_agg import RendererAgg
> >>> r = RendererAgg(50,
Michael Newman wrote:
> My understanding is the "contour" method only handles plots of
> functions, e.g. f(x,y) = z, and not discrete points. I tried looking
> into this weeks ago, and couldn't find a way to handle discrete points.
>
> I'd love to be able to do Kriging or Inverse Distance Weighti
My understanding is the "contour" method only handles plots of
functions, e.g. f(x,y) = z, and not discrete points. I tried looking
into this weeks ago, and couldn't find a way to handle discrete points.
I'd love to be able to do Kriging or Inverse Distance Weighting contour
lines on XY points
Thank you very much.
I know very little about numpy in fact.
If I don't find a pure matplotlib method, I will use your suggestion with
wx.
I think however matplotlib may be used only (and it will be even better as I
plan to make a Qt version in the future)
So, in :
from matplotlib.transforms im
