generated is here:
http://www.kirikoo.net/images/5shrad-20080917-102544.png
Also, I couldn't find any way to reduce the colorbar font size
The colorbar method returns a matplotlib.colorbar.Colorbar instance,
which has matplotlib.axes.Axes instance stored as an attribute. Thus
you can do:
cb
[EMAIL PROTECTED] wrote:
The image generated is here:
http://www.kirikoo.net/images/5shrad-20080917-102544.png
Also, I couldn't find any way to reduce the colorbar font size
The colorbar method returns a matplotlib.colorbar.Colorbar instance,
which has matplotlib.axes.Axes instance
/images/5shrad-20080917-102544.png
Also, I couldn't find any way to reduce the colorbar font size
The colorbar method returns a matplotlib.colorbar.Colorbar instance,
which has matplotlib.axes.Axes instance stored as an attribute. Thus
you can do:
cb = colorbar(something)
for t
/images/5shrad-20080917-151205.png
I have added zero-value points at the corners of the map, thinking that
interpolation simply didn't do its job between the points because of a lack
of data, but it's still the same
The masked array has been replaced with a replace by zero if superior to
-1.2 thing
On Sep 17, 2008, at 1:59 AM, jan gillis wrote:
Hello,
I have a problem with polar plot, if i run the following code in
matplotlib 0.98.3, polar plot is drawing a extra circle to go from
angle -3.14159265 to angle 3.03753126. Is there a solution for this
problem?
On Wed, Sep 17, 2008 at 11:54 AM, John Hunter [EMAIL PROTECTED] wrote:
Attached is a screenshot (zoom.png) from the gimp, zoomed in near the
axes border. The black horizontal line is the top axes border, the
horizontal grey line is the artifact, the vertical dashed line is a
grid line. I
Hi. I'd like to add a filled area on my graph to denote the standard
deviation from an average. Additionally, i'd prefer the fill to be a
diagonal hatch. Reading online, i found that there is a 'Rectangle' class,
but i can't get this to work. Can someone suggest a good way to get the
results
Ted Drain wrote:
We have some experience maintaining persistent object storage over long
periods of time. The best solution we've found is to do something like
this:
- create a read/write method on each class. Every class that needs to be
stored must have this. This includes class you
I agree completely - I was just pointing that it is possible. I think what
people might not be aware of is that it's really an all or nothing
proposition. You either jump in completely and pay the large cost to handle
this in a maintainable, scalable way or don't do it at all. All of the
quick
Josef,
I too have been interested in such a feature for matplotlib and have
made some (albeit lame) stabs at finding a solution. I started a
project on google code that has some very limited capacity to save line
plots and the necessary data arrays from matplotlib into an hdf5 file for later
On Wed, Sep 17, 2008 at 12:55:40PM -0700, Ted Drain wrote:
I agree completely - I was just pointing that it is possible. I think what
people might not be aware of is that it's really an all or nothing
proposition. You either jump in completely and pay the large cost to handle
this in a
I'm having trouble plotting data with NaN values. My plot has lines and
markers and usually both are skipped for NaN values. But when I have
more than 127 data a line is drawn from the last non-NaN to the next.
I read somewhere about a similar issue (maybe here? sorry I can't find
it just now),
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
xy = 0.3, 0.3,
width, height = 0.2, 0.5
p = mpatches.Rectangle(xy, width, height, facecolor=orange, edgecolor=red)
plt.gca().add_patch(p)
plt.draw()
A Rectangle is a patch class and (although I'm not sure) I don't think
Adjusting a physical size of the axes is a bit tricky in matplotlib,
as the axes has an fixed position in normalized figure coordinate.
But, I guess setting the axes aspect ratio in physical size is doable
relatively easily, at least if your x,y axis are in linear scales. For
example, if you want
Recently I noticed that the quiver plots all make the arrows as if the
plot had aspect ratio 1. See, for example, the documentation for quiver:
In all cases the arrow aspect ratio is 1, so that if *U*==*V* the
angle of the arrow on the plot is 45 degrees CCW from the *x*-axis.
This seems
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