Hello,
When I'm calling the pyplot.plot function from ipython, I get a nice
dialog in which I can zoom, pan save.
How can I achieve the same thing from a non-interactive program?
I tried
fig = plt.figure()
ax = fig.add_subplot(111)
ax.contourf(stuff)
fig.show()
but this
Hello,
I'm trying to plot something from 0 to 2pi:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_title('Radial Magnetic Field')
ax.set_ylabel(r'Poloidal Angle $\theta$')
ax.set_xlabel(r'Toroidal Angle $\phi$')
ax.set_xticks([0, 2 * math.pi])
On 04/20/2010 10:29 AM, Ryan May wrote:
On Tue, Apr 20, 2010 at 8:58 AM, Nikolaus Rath nikol...@rath.org wrote:
Hello,
I'm trying to plot something from 0 to 2pi:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_title('Radial Magnetic Field')
ax.set_ylabel(r'Poloidal Angle
Hello,
Maybe my googling skills are deficient, but I wasn't able to find any
information on how to define my own colormap.
Can someone give me a pointer, or a basic example how to create a simple
map that e.g. maps -1 to Red, 0 to White, and 1 to Blue?
Thanks,
-Nikolaus
--
»Time flies
On 04/20/2010 01:06 PM, Ryan May wrote:
On Tue, Apr 20, 2010 at 11:40 AM, Jim Vickroy jim.vick...@noaa.gov wrote:
Nikolaus Rath wrote:
Hello,
Maybe my googling skills are deficient, but I wasn't able to find any
information on how to define my own colormap.
Can someone give me a pointer
Hello,
I have 2d array with fourier amplitudes that I would like to plot. I
found two options: contourf and imshow. This is my code:
omega = np.fft.rfftn(b_field, axes=(1, 0))
omega = np.abs(np.fft.fftshift(omega, axes=(1,)))
fig = plt.figure()
ax = fig.add_subplot(111)
M =
#matplotlib.pyplot.imshow
If this is not what you want, please describe more explicitly why the
colorbar is wrong.
Regards,
-JJ
On Mon, Apr 26, 2010 at 11:37 AM, Nikolaus Rath nikol...@rath.org wrote:
The problem with imshow is, that it rescales the data so the
colorbar does not show the correct
://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.imshow
If this is not what you want, please describe more explicitly why the
colorbar is wrong.
Regards,
-JJ
On Mon, Apr 26, 2010 at 11:37 AM, Nikolaus Rath nikol...@rath.org wrote:
The problem with imshow is, that it rescales the data so
Hi,
I have a 1d array Z that unfortunately contains information about a two
dimensional surface. The mapping is nontrivial (i.e. Z is not just a
sequence of column or row information that I could reshape) but
homogenous (i.e. there is a rectangular grid and Z contains data for
each vertex). The x
Hello,
I would like to draw a couple of contour plots. The plots are on
separate figures, but they should all have exactly the same color
mapping (i.e, the same Z value should correspond to the same color in
all plots).
What's the best way to achieve this?
From the documentation I gather that I
Hello,
What is the best way to generate a contour plot from a set of
non-uniformly sampled data (i.e., the datapoints do not lie on the
points of a rectangular grid but are randomly distributed)?
Thanks,
-Nikolaus
--
»Time flies like an arrow, fruit flies like a Banana.«
PGP
Jeff Whitaker jswhit-97jfqw80gc6171pxa8y...@public.gmane.org writes:
On 7/28/10 8:32 PM, Nikolaus Rath wrote:
Hello,
What is the best way to generate a contour plot from a set of
non-uniformly sampled data (i.e., the datapoints do not lie on the
points of a rectangular grid but are randomly
Ryan May rmay31-re5jqeeqqe8avxtiumw...@public.gmane.org writes:
On Jul 30, 2010, at 14:34, Nikolaus Rath
nikolaus-bth8mxji...@public.gmane.org wrote:
Hi,
Consider this:
X = np.linspace(0.70, 1.1, 100)
Y = np.linspace(-1.19, 1.19, 70)
(Xs, Ys) = np.meshgrid(X, Y)
Z = np.sqrt((Xs-0.9
Hello,
I would like to create subplots with different sizes using the object
oriented API. However, it seems that the subplot2grid() method exists
only in pyplot, but not as a Figure instance method. Am I looking in the
wrong place? How do I use subplot2grid with an existing Figure object?
Hello,
I just noticed that in order to get a 3 row by 4 column grid, I have to
do
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
def make_ticklabels_invisible(fig):
for i, ax in enumerate(fig.axes):
ax.text(0.5, 0.5, ax%d % (i+1),
On 10/25/2010 11:18 AM, Jae-Joon Lee wrote:
On Mon, Oct 25, 2010 at 10:45 PM, Nikolaus Rath nikol...@rath.org wrote:
So I have to instantiate GridSpec with a (rows, column), but when I
index the grid I have to use (column, row).
Is there any reason for this counterintuitive behaviour
Hello,
I'm having a weird problem with a contour plot. Consider the following
plots:
import cPickle as pickle
import matplotlib.pyplot as plt
(Theta, Phi, Bnormal) = pickle.load(open('trouble.pickle', 'rb'))
plt.figure(0)
for i in [0, 300]:
plt.plot(Theta, Bnormal[:, i], label='Bnormal at
Benjamin Root ben.root-grryuj3d...@public.gmane.org writes:
On Thu, Oct 28, 2010 at 3:31 PM, Nikolaus Rath
nikolaus-bth8mxji...@public.gmane.org wrote:
Hello,
I'm having a weird problem with a contour plot. Consider the following
plots:
import cPickle as pickle
import matplotlib.pyplot
Benjamin Root ben.root-grryuj3d...@public.gmane.org writes:
However, it seems to me that this is quite a serious bug. The contour
documentation on
http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.contour
does not mention this requirement, and obviously the contour
Eric Firing efiring-msmayosy5ky3upmlikx...@public.gmane.org writes:
I don't know if there are any strict requirement on monotonicity for X
and Y, or if there are any cases where the plot is still valid even if
that property is violated. If it is a requirement, then I agree that
there should
Hello,
I am trying to set tick labels for a matshow plot. This works just fine
if I only work on the X axis:
res = np.diag(np.arange(10)) # dummy data
modes = [ (x+1, 0) for x in range(5) ] # dummy data
fig = plt.figure()
ax = fig.add_subplot(111)
cs = ax.matshow(res)
Hello,
I am placing a text object in a place where the background is sometimes
dark and sometimes light, so the text is hard to see. Adding a
background to the text object itself looks a bit ugly, so I am wondering
if there is a way to add a shadow to the text itself.
What's the best way to do
Stan West stan.west-qqjzlxdiqip5oiiguju...@public.gmane.org writes:
From: Nikolaus Rath [mailto:nikolaus-bth8mxji...@public.gmane.org]
Sent: Tuesday, November 02, 2010 21:38
In [16]: matplotlib.__version__
Out[16]: '1.0.0'
I attached the result of fig.savefig(). Let's see if it makes
Hello,
I'm plotting a rotating phase:
# ipython --pylab
x1 = linspace(0, 2*pi, 30)
x = concatenate((x1,x1,x1,x1))
plot(x)
The resulting plot has ugly vertical lines whenever x wraps from 2*pi
back to zero.
Does someone have a nice, general way to get to get rid of such lines?
(the actual data
Hello,
The following code shows the plot right away as expected:
# python
Python 2.7.3rc2 (default, Apr 22 2012, 22:30:17)
[GCC 4.6.3] on linux2
Type help, copyright, credits or license for more information.
import matplotlib
matplotlib.__version__
'1.1.1rc2'
import matplotlib.pyplot as plt
Benjamin Root ben.root-grryuj3d...@public.gmane.org writes:
On Sunday, August 5, 2012, Nikolaus Rath wrote:
Hello,
The following code shows the plot right away as expected:
# python
Python 2.7.3rc2 (default, Apr 22 2012, 22:30:17)
[GCC 4.6.3] on linux2
Type help, copyright, credits
Hello,
For some reason, my matplotlib isn't able to print percent signs ('%')
properly:
[1] inspiron:~/tmp# cat mplbug.py
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
print matplotlib.__version__
plt.plot(np.arange(10), np.arange(10)**2)
plt.xlabel('Percent [%]')
Damon McDougall damon.mcdougall-re5jqeeqqe8avxtiumw...@public.gmane.org
writes:
On Tue, Oct 9, 2012 at 10:56 PM, Damon McDougall
damon.mcdougall-re5jqeeqqe8avxtiumw...@public.gmane.org wrote:
On Tue, Oct 9, 2012 at 10:32 PM, Nikolaus Rath
nikolaus-bth8mxji...@public.gmane.org wrote:
Hello
Benjamin Root ben.root-grryuj3d...@public.gmane.org writes:
For some reason, my matplotlib isn't able to print percent signs ('%')
properly:
[1] inspiron:~/tmp# cat mplbug.py
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
print matplotlib.__version__
Michael Droettboom mdroe-pfb3ainihtehxe+lvdl...@public.gmane.org writes:
For some reason, my matplotlib isn't able to print percent signs ('%')
properly:
It's a known bug, fixed since 1.1.1.
https://github.com/matplotlib/matplotlib/issues/1211
Indeed. Luckily 1.2.0~rc2-1 is in experimental,
Hello,
I'm confused by the dpi property of figures that can be set in
matplotlibrc or passed to pyplot.figure().
It seems to me that dpi is really a property of the backend, not the
figure, and the only place to specify it ought to be when saving into a
bitmap file.
For example, when showing a
Damon McDougall damon.mcdougall-re5jqeeqqe8avxtiumw...@public.gmane.org
writes:
On Thu, Oct 11, 2012 at 4:00 PM, Nikolaus Rath
nikolaus-bth8mxji...@public.gmane.org wrote:
When saving the figure in some vector graphics format, I
don't see what the meaning of the dpi is at all.
Sure, I use
Jae-Joon Lee lee.j.joon-re5jqeeqqe8avxtiumw...@public.gmane.org writes:
On Fri, Oct 12, 2012 at 3:39 AM, Nikolaus Rath
nikolaus-bth8mxji...@public.gmane.org wrote:
matplotlib actually rescales the raw imshow data when saving to a vector
format? Why is that? I think it should embed the bitmap
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