Hi,
I searched through various previous posts and it seems that the
z-ordering issue with mplot3d has been met many times. When multiple
Poly3DCollections are added to an Axes3D object, e.g. via multiple
plot_surface commands, the z-ordering routine is not capable of
producing the right
Hi,
I'm not sure if it helps, but you can try to plot always into the same
figure object instead of creating a new one every time you call the
plot_density function.
I would create one figure in advance and pass this the plot_density
method. Within the method set the figure active
Hi,
is there a way to define the line width in data units, i.e. no in screen
based but in data coordinate system based units? This way the line
thickness would scale during zooming (which is intended!).
This way parallel areas would be much easier to plot.
If this is not possible has anyone
Hi,
if the import filetype is not restricted to svg, you can use PyX to
place vector eps figures into other eps figures. I used this in a two
step approach (first create the plot with matplotlib and store is as eps
and second, use PyX to combine the plot with a vector figure) in a
single
Recently, I switched from matplotlib 0.99 to 1.0.1 and unfortunately discovered
that my text scaling script stopped working properly. The script scales the
given text
to fit into the current figure.
A quick example of what I'm doing (works in 0.99, but not in 1.0.1 and 1.1.1rc):
import
On 09/03/2012 08:57 PM, Eric Firing wrote:
It looks like you can either use the _get_layout() method (which
requires that you specify the renderer), or, if you know the text object
will be among the last 50 for which _get_layout() has been called, you
can use txt1.cached[txt1.get_prop_typ()].
On 09/04/2012 09:13 AM, Eric Firing wrote:
On 2012/09/03 8:33 PM, Jakob Gager wrote:
On 09/03/2012 08:57 PM, Eric Firing wrote:
It looks like you can either use the _get_layout() method (which
requires that you specify the renderer), or, if you know the text object
will be among the last 50
I totally agree with to general opinion that a command line tool would be
beneficial.
I've written a simple mpl commandline plotter quite some time ago and use it
frequently for
quick previews but also to create simple plots for presentations. It features
some options to
modify the appearance
Hi
have a look at
http://matplotlib.org/examples/pylab_examples/multicolored_line.html and
http://matplotlib.org/examples/pylab_examples/show_colormaps.html.
br
Jakob
On 02/27/2013 10:49 AM, Rita wrote:
Hi,
I am currently plotting cpu utilization over time (plot_time). I would like
the
