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
without the svn version, you can save both files.
edit figureoptions.py to modify the import:
#import matplotlib.backends.qt4_editor.formlayout as formlayout
import formlayout
then, you can attach the nice dialog box to a Event, something like that
works:
import matplotlib.pyplot as plt
import nu
Hello,
I have a subplot with 4 lines.
I display the legend.
I can remove a line easily with something like del(self.ax.lines[n]).
But how can I remove the line in the legend ?
I found that I can remove all the lines, add news ones, but all the
lines (new and deleted) remain in the legend.
thanks
perfect!
was really simple, but I did not think about it.
thanks for your help!
2010/7/1 Matthias Michler :
> On Wednesday, June 30, 2010 06:24:12 pm Philippe Crave wrote:
>> Hello,
>>
>> I have a subplot with 4 lines.
>> I display the legend.
>> I can remove a li
Hi,
I use qt4 backend.
I update some lines doing something like that:
def draw_curves(self, datas, x):
for y in datas:
self.lines[i].set_data(x, y)
min_y, max_y = self.min_max(y)
self.ax[i].axis((0, x[-1], min_y, max_y))
#self.ax[i].draw_artis
hi,
sorry to bring this up again.
style haven't found how to draw my plot faster than
self.fig.canvas.draw(), after a set_data()
thanks
2010/9/1 Philippe Crave :
> Hi,
>
> I use qt4 backend.
> I update some lines doing something like that:
>
> def draw_curves(self, data
ot actually get updated.
I mean, visually.
2010/9/8 Philippe Crave :
> -- Forwarded message --
> From: Eric Firing
> Date: 2010/9/8
> Subject: Re: [Matplotlib-users] draw after set_data
> To: matplotlib-users@lists.sourceforge.net
>
>
> On 09/07/2010 07:33 PM, P
