Hello group,
is there any special reason for the special handling of scalar
arguments in the normalization classes? Would it not be simpler
to just use asarray and only use arrays?
If nothing speaks against it, i could do a pull request.
greetings
Till Stensitzki
I think you have to plot something, else matplotlib don't know where to draw
the
ticks.
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David Belohrad writes:
> This leads me to a conclusion, that matplotlib somehow 'chooses' the
> data to be displayed.
>
> How can I force it to display all the data? I do not mind if not all the
> data are displayed in the graph, but it seems that it does not bother to
> skip as well the peaks
Holger Brandsmeier writes:
>
> Dear list,
>
> I would like to have two subplots in a figure one below each other (so
> arranged in a 2x1 matrix). I want the upper subplot to have a very
> small height compared to the lower one, say 10 times smaller than the
> other one.
>
> How can I do that w
Hello,
for a interactive gui program i want to change the shown data without changing
the rest of the figure. For normal plots, there is a set_xdata/set_ydata
methods. For QuadMesh, there is a set_array method, which i don't get to work.
Thanks,
Till
-
Hi,
try if:
gcf().set_frameon(False)
helps.
greetings
Till
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If you want to use it in the example section or anything else, you are
welcome.
greetings
Till
#!/usr/bin/env python
# embedding_in_qt4.py --- Simple Qt4 application embedding matplotlib
canvases
# It also shows, that normal plotting is quite slow.
#
# Copyright (C) 2005 Florent Rougon
#
Hello,
i am using a Matplotlib figure as widget, in a PyQt4 programm.
Everything works, except "set_autoscale_on(False)".
Everytime i call a figure axes to plot something, it forgets its
autoscale status. Here some code, with axs a subplot of a figure:
|print axs.get_autoscale_on()
