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
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
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 Cairo backend should
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 |
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 =
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 =
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
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
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
On Thu, Mar 18, 2010 at 7:01 AM, Philippe Crave philippe.cr...@gmail.comwrote:
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 =
2010/3/4 Timo Heine timo.he...@gmail.com:
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
2010/3/18 Ciarán Mooney general.moo...@googlemail.com:
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
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
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