Looking at set_ticks_position doc it says that "default" will reset
ticks to be on both sides and labels on left, and set_label_position
only allows for left or right.
Is there any way to have ticks and ticks labels on both left and right?
Werner
--
Hello,
the following will display a figure with a plot. the figure will embed
the classic toolbar.
import matplotlib.pyplot as plt
import numpy as np
x=np.arange(0, 1, 0.1)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x)
plt.show()
from there, is it possible to add new buttons to the too
I don't see a reason why this can't be implemented. It is probably pretty
simple to change the surface plot code to use a polar grid instead of a
rectangular grid. Of course this won't change the look of the rectangular
axes, but maybe that is not a problem.
I invite you to take a shot at imp
David wrote:
> Dear Michael,
>
> On 17/03/10 20:34, Michael Droettboom wrote:
>
>>> I have tried
>>>
>>> import matplotlib
>>> matplotlib.use('GtkCairo')
>>>
>>> as you suggested, but they had no effect whatsoever. Even the error
>>> output is the same.
>> I'm surprised that isn't having any effect
The code below works perfectly. I think this should be included as an
mplot3d codex. I'll look into what's required to submit a new example
to the documentation.
Thanks Armin!
|| Jeff Klukas, Research Assistant, Physics
|| University of Wisconsin -- Madison
|| jeff.klu...@gmail | jeffyklu...@ai
Hi,
you can create your supporting points on a regular r, phi grid and
transform them then to cartesian coordinates:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
step = 0.04
maxval = 1.0
fig = plt.figur
Hi,
I am trying to create an image from an array using PIL, numpy and a
colourmap from matplotlib.
I got the colourmap by using ipython and the following code
colourmap = []
for i in xrange(256):
r,g,b,a = cm.jet(i)
r = int(round((r * 255),0))
g = int(round((g * 255),0))
b = int(
Hello,
Please tolerate my impatience for being the first announcing the new
discussion platform :) and my cross-posting over the lists.
The new site is beating at ask.scipy.org . David Warde-Farley is moving the
questions from the old-site at advice.mechanicalkern.com (announced at
SciPy09 by Rob
Oh, nice.
I've been flagging particularly useful-looking answers on the
matplotlib mailing list for a while; I have four or five hundred
marked. I don't want to do all the cleanup to make them an inoculant
for a new site, but perhaps they would be useful for people to do a
few each or thr
Hello,
I am trying to plot multiple intersecting lines from a given
array. In order to visualize the amount of crossing points I am
setting a certain alpha. However the crossings do not get darker as I
expected.
That is what I tried::
import numpy as np
import matplotlib.pyplot as plt
Thanks, adding the axes ([0,0,1,1]) helped!
:)
I'll just be careful so that my calculation domain
is from 0 - 1 in x and y direction, this is something
I have to do anyway. This will definitely work!
Thanks again,
Tomislav
- Original Message -
From: Friedrich Romstedt
Sent: 03/17/10 07:
On Thu, Mar 18, 2010 at 7:01 AM, Philippe Crave wrote:
> Hello,
>
> the following will display a figure with a plot. the figure will embed
> the classic toolbar.
>
> import matplotlib.pyplot as plt
> import numpy as np
> x=np.arange(0, 1, 0.1)
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.
2010/3/4 Timo Heine :
> Basically what I want to do is to draw a horizontal line with relative y
> co-ordinates and absolute xmin and xmax co-ordinate. Then I could draw a
> line when a bit is high and have it always in plot area even when zooming
> etc. Like axhline(...) but with relative y and ab
2010/3/18 Ciarán Mooney :
>value = (log(x)/log(largest))*255
Just two thoughts:
1) I doubt the statement cited above is not correct, as it may also
yield negative values as soon as 0 < x < 1. In fact, you are
calculating log_{largest}(x). This crosses zero for x = 1. Wh
I tried to follow the instructions given on
http://blog.hyperjeff.net/?p=160
and modified the make.osx accordingly to compile matplotlib on OS X 10.6.2
(Snow Leopard).
But after executing
sudo make -f make.osx fetch deps mpl_build mpl_install
I get the following error message:
I had compiled
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