Tim Michelsen wrote:
> Hello users and developers of matplot,
> I would like to ask what kind of interpoaltion method is used by
> pylab.countourf()?
>
> I suppose that it uses linear interpolation to derive the areas between
> the contour lines.
>
> Is that true?
>
> Kind regards,
> Timmie
Ti
Hello users and developers of matplot,
I would like to ask what kind of interpoaltion method is used by
pylab.countourf()?
I suppose that it uses linear interpolation to derive the areas between
the contour lines.
Is that true?
Kind regards,
Timmie
Hi everybody,
Below you will find a small script that plots the graph of a simple function.
This code is aimed to be embedded in a GUI application.
I set the subplot dimension with the b.set_position([]) command. The floats
that are given to set_position() are percents relative to the Figure
di
Steffen Wischmann <[EMAIL PROTECTED]>
writes:
> I searched the forum and the net but I cannot figure out how I can
> change the line colors for a boxplot (i.e., making all lines black such
> as medians, whiskers, boxlines, black).
Change them after plotting, using the returned dictionary:
In [
Hi,
I searched the forum and the net but I cannot figure out how I can
change the line colors for a boxplot (i.e., making all lines black such
as medians, whiskers, boxlines, black).
the only thing I accomplished is changing the color of all outliers,
e.g., via:
boxplot(X, sym='r+')
Even set
Hi people,
I'm new to unix, python and matplotlib. I've had trouble installing matplotlib.
The machine I'm on is running solaris. I tried installing it on my friend's
ubuntu box and it worked basically immediately. After some effort I managed to
get it to compile and install on solaris.
In pyt
Hi,
As far as I know, the destination coordinate of trans* is a display
(canvas) coordinate, not the normalized figure coordinate. It has a
dimension of f.get_figwidth()*f.get_dpi(),
f.get_figheight()*f.get_dpi().
For example, transFigure transforms the normalized figure coordinate
to the display
Dear List,
I would like to define a new second plot inside a first plot using the
axes command.
But I need the position and size do be defined not by the relative
figure coordinates
but by data coordinates.
I have found the following trick :
ax = gca()
f = gcf()
x,y = ax.transData.transform
