Dear,
you can try my tutorial to achieve this properly :
http://www.geophysique.be/2011/02/20/matplotlib-basemap-tutorial-09-drawing-circles/
Cheers,
Thom
ps : on the "things to do when I have some time" list : commit a method to the
default basemap package to do this...
Da
>>> Benjamin Root 12/07/11 4:16 AM >>>
>
> Use draw_idle() if performance is an issue. Also, you don't have to
redraw
> everything. You can save the object returned by avline()
> and in subsequent draws, just modify the data. Usually, there is a
set_data()
> or a set_xy() method you can use f
On Tuesday, December 6, 2011, questions anon
wrote:
> I would like to draw a simple circle around a specified latitude and
longitude but I cannot find an appropriate command.
> I have tried using
> map.drawgreatcircle(myLON, myLAT,myLON, myLAT, linewidth=20,color='k')
> but this doesn't do anythin
On Tuesday, December 6, 2011, Sven Duscha wrote:
> Hi,
>
>
> I kind of got the basic functionality working using
>
>
> cid = self.fig.canvas.mpl_connect('motion_notify_event',
> self.update_marker)
>
>
> def update_marker(self, event):
> print "plotMarker()" # DEBUG
> self.m
Hi,
I kind of got the basic functionality working using
cid = self.fig.canvas.mpl_connect('motion_notify_event',
self.update_marker)
def update_marker(self, event):
print "plotMarker()" # DEBUG
self.marker=self.ax1
#print 'button=%d, x=%d, y=%d, xdata=%
I would like to draw a simple circle around a specified latitude and
longitude but I cannot find an appropriate command.
I have tried using
map.drawgreatcircle(myLON, myLAT,myLON, myLAT, linewidth=20,color='k')
but this doesn't do anything
or even
map.drawgreatcircle(myLON+1, myLAT+1,myLON-1, myLAT
Hi,
how could I realize a moving marker line under the mouse pointer?
I know about event handling
http://matplotlib.sourceforge.net/users/event_handling.html
and would use ‘ axes_enter_event’ to react on, then draw a line
with
axvline(x=event.xdata, linewidth=1, color='r')
but how can
>>> Sven Duscha 12/06/11 4:50 PM >>>
On Dec 6, 2011, at 4:34 PM, Till Stensitzki wrote:
> I think you have to plot something, else matplotlib don't know where
to draw the
> ticks.
Thankfully that got solved; I had an additional
self.ax1.get_xaxis().set_visible(False)
somewhere in my code.
On 12/06/2011 12:43 AM, Arnaud wrote:
> Hello, and thank you for this answer.
>
> I do not care that much of the colorbar, i added it to make sure the
> range actually started at 0.
> I used the contour function to that purpose too i.e. to show that my
> function actally ranged from 0 to 100.
>
>
You're not crazy. The v1.1.x branch got inadvertently moved to master
yesterday. On the v1.1.x branch this fix is not applied. I will do so now.
Mike
On 12/05/2011 05:46 PM, Benjamin Root wrote:
Heh, strange... I could have sworn that the reference counter
decrements were there... Ok, looks
Benjamin Root writes:
> Confirmed. This seems to be a bug, but a quick glance at hist() doesn't
> make it obvious to me what the cause is. Perhaps it is in bar()?
>
> Leo, could you please file a bug report on github?
Done.
--
Leo Breebaart
--
On Tue, Dec 6, 2011 at 11:15 AM, Arnaud wrote:
> thanks, of course, this work.
> I will have to edit ticks labels ...
>
> shall we expect a correction in near future ?
>
It is doubtful unless I have some sort of eureka moment. I have been
tinkering with this problem on-and-off for a few months n
On Mon, Dec 5, 2011 at 10:09 AM, JASON TILLEY wrote:
> I am trying to put two regression lines on one scatter plot, but the
> dashes on the lines are inconsistent. I get different length dashes in
> different spots, and this won't be acceptable for publication I imagine. Do
> you have nay idea of
thanks, of course, this work.
I will have to edit ticks labels ...
shall we expect a correction in near future ?
best,
--
RHENOVIA - Arnaud LEGENDRE.
Le mardi 06 décembre 2011 à 10:45 -0600, Benjamin Root a écrit :
> On Tue, Dec 6, 2011 at 10:08 AM, Arnaud
> wrote:
> Hello,
>
I am trying to put two regression lines on one scatter plot, but the dashes on
the lines are inconsistent. I get different length dashes in different spots,
and this won't be acceptable for publication I imagine. Do you have nay idea of
what could be causing this? I've thought it could be relate
Hello,
I have run across an inconsistency in the zorder of markers and lines
in the legend for an errorbar as opposed to a plot in matplotlib
v1.1.0. After some considerable amount of time reading
legend_handler.py and the information at
http://matplotlib.sourceforge.net/users/legend_guide.html I
On Tue, Dec 6, 2011 at 10:08 AM, Arnaud wrote:
> Hello,
>
> i encountered a problem when trying to set axes as logarithmic in a 3D
> plot using plot_surface().
>
> I do not know if it is a known bug or if it is a workaround ...?
>
Yes, this is a known bug and it is a very tricky one to untangle.
Hello,
i encountered a problem when trying to set axes as logarithmic in a 3D
plot using plot_surface().
I do not know if it is a known bug or if it is a workaround ...?
the failing code is :
#!/usr/bin/python
import os
import sys
from pylab import *
from mpl_toolkits.mplot3d import Axes3D
from
On Tue, Dec 6, 2011 at 6:56 AM, Leo Breebaart wrote:
> fig = plt.figure()
> ax = fig.add_subplot(111)
> # Plot as expected: single bar in the center:
> #result = ax.hist([1.0e+14], 5)
> # Plot remains completely empty:
> result = ax.hist([1.0e+16], 5)
> print "result:", result
> plt.show()
>
Co
On Dec 6, 2011, at 4:34 PM, Till Stensitzki wrote:
> I think you have to plot something, else matplotlib don't know where to draw
> the
> ticks.
I do plot data, both with .scatter and .plot. The data is plotted perfectly
fine, just without any xaxis marks.
The whole source code of the appli
I think you have to plot something, else matplotlib don't know where to draw
the
ticks.
--
Cloud Services Checklist: Pricing and Packaging Optimization
This white paper is intended to serve as a reference, checklist
From: Michael Droettboom
> > To: matplotlib-users@lists.sourceforge.net
> > Subject: Re: [Matplotlib-users] how to use different font for serif
> > Date: Mon, 5 Dec 2011 14:49:09 -0500
> >
> > What rcParams are you setting?
> >
> > font.family: serif
> > font.serif: Times New Roman
> >
> > and
David Belohrad writes:
> This leads me to a conclusion, that matplotlib somehow 'chooses' the
> data to be displayed.
>
> How can I force it to display all the data? I do not mind if not all the
> data are displayed in the graph, but it seems that it does not bother to
> skip as well the peaks
Hi all,
It would appear that Axes.hist() does not handle large input
values the way I was expecting it to.
For example:
-
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
# Plot as expected: single bar
Hi,
I am writing a small plotting GUI using Matplotlib 1.0.1 and QT4.6. Essentially
I need interaction with the GUI, in order to sett plotted parameters and
plotting limits.
This means that I have to set up a figure in a canvas environment in order to
use it in QT - at least that is what I ga
Hello, and thank you for this answer.
I do not care that much of the colorbar, i added it to make sure the
range actually started at 0.
I used the contour function to that purpose too i.e. to show that my
function actally ranged from 0 to 100.
Removing both colorbar and contour, i have the same
Dear All,
I'm using matplotlib to generate graph from measured data in one of our
accelerators. The issue I have, that the data vector is huge. We talk,
say about 5 points to be displayed in a single graph, and I have to
assure, that those points are really there. Otherwise the image will be
b
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