I am trying to rasterize the fancy arrows drawn by the lovely streamplot()
function, but am running into major problems since the arrows are drawn at a
very late stage (to preserve their aspect ratio).
--
from pylab import *
fig = figure(figsize=(10,5))
x = linspace(-1,1,10)[:, None]
On 7 Oct 2011, at 4:56 PM, Daniel Hyams wrote:
> I'm wanting to highlight the artist under the cursor with a
> transparent Rectangle patch. To do this, I have very, roughly, in a
> mouse motion handler,
>
> under = self.figure.hitlist(ev)
> if under:
>artist = under[0]
>bbox = artist.
Hi Everyone,
I am considering the best practices for producing high-quality plots for
publication. I would like to be able to use colour and and transparency
for screen viewing, but also want to ensure that the graphs print well.
The typical problem I run into is using colors for data curves. W
Hi,
I am trying to figure out how to produce a mixed-mode rendering PDF of a
contourf plot.
I tried something like this:
>>> from pylab import meshgrid, sin, cos, linspace, contourf,
savefig, clf
>>> x, y = meshgrid(*(linspace(-1,1,500),)*2)
>>> z = sin(20*x**2)*cos(30*y)
>>> c = contourf(
On 13 Jan 2011, at 5:50 AM, Michael Droettboom wrote:
> Can you provide a simple LaTeX document that illustrates the problem
> with psfrag? This is still compliant Postscript, AFAICT.
It is not a postscript compliance issue, but rather a requirement of
the psfrag package which relys on searc
Hi,
Is there a standard way to compute first and then plot something
later? For example, I would like to generate a fine contour plot,
then use it as a background later.
x = np.linspace(-1,1,1000)
X,Y = np.meshgrid(x,x)
Z = ((X*X + Y*Y) - 0.5)**2 + Y**2
contours = plt.contour(X,Y,Z,100) # T
On 8 Apr 2009, at 12:29 PM, Gideon Simpson wrote:
> Is there a way to save a figured at a specified size?
> -gideon
I have always specified the figure size first in the figure command:
fig_width = 5 # Default unit is inches
fig_height = 3
plt.figure(figsize=(fig_width, fig_height))
plt.plot(..
Is there a standard way to associate scalex/scaley information with
individual plot elements?
I would like to do the following:
x = linspace(-1,1,100)
y = sin(x)
plot(x,y)
plot(x,10*y,scaley=False)
plot(x,2*y)
and have it be equivalent to plotting instead in the order
plot(x,y)
plot(x,2*y)
pl
On Sep 15, 2008, at 4:53 PM, Jae-Joon Lee wrote:
> To change the window title, you may use
>
> fig.canvas.set_window_title("My Title")
>
> But I couldn't find any public method to obtain the current window
> title.
Kind of awkward, but
fig.canvas.manager.window.wm_title()
returns the current
On 8 Aug 2008, at 8:42 PM, Michael McNeil Forbes wrote:
> While revisiting some old plotting code, I ran across the following
> change in behaviour that seems to be buggy.
>
> from pylab import *
> ion()
> clf()
> x = linspace(0,1,10)
> plot(x,x**2,'r')
>
Why do you want to "fork" the process? If you just run it in the
background it should have the desired effect:
from pylab import *
x = linspace(-10,10,100) # or load data from a file.
y = sin(x)
plot(x,y)
show()
$ python tst.py&
Process remains in background running until the user closes th
Hi,
I am trying to figure out the best way to create an inset axis on a
plot, but where one inset axis shares the same scale as the main axis.
Basically, I want something like the inset axes in axes_demo.py, but
where the x-axis of the inset axis is aligned and has the same scale
as the mai
On 10 Nov 2007, at 7:51 AM, Michael V. DePalatis wrote:
...
> I recently discovered that if I import
> pylab after importing numpy, I get tons of warnings:
>
> Warning: divide by zero encountered in divide
> Warning: invalid value encountered in multiply
> Warning: overflow encountered in long_sca
I am having some problems with the axes frame being clipped.
Consider the following:
from pylab import *
fill([0,1,1,0],[0,0,1,1],facecolor=(1,1,1),edgecolor=(1,1,1))
axis([-1,1,-1,1])
gca().get_frame().set_linewidth(20)
show()
I have made the frame thick to emphasize the problem: When I plot
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