Paul Hobson, on 2012-01-28 23:21, wrote:
> There is undoubtedly a more efficient way to do this, but give this a shot:
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.arange(0, 10.5, 0.5)
> y = -3.0*x + 0.5*x**2
>
> color_list = ['FireBrick', 'Orange', 'DarkGreen', 'DarkBlue
There is undoubtedly a more efficient way to do this, but give this a shot:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 10.5, 0.5)
y = -3.0*x + 0.5*x**2
color_list = ['FireBrick', 'Orange', 'DarkGreen', 'DarkBlue', 'Indigo']
limits = np.arange(0, 11, 2)
fig, ax1 = plt.sub
On Sat, Jan 28, 2012 at 4:10 PM, Jerzy Karczmarczuk <
jerzy.karczmarc...@unicaen.fr> wrote:
> Ben Root, about my example in which an infinite callback loop overflows :
>
> So, where is your terminating condition? Of course it will continuously
> call itself if you have nothing to stop it. Prote
On Sat, Jan 28, 2012 at 10:31 AM, Jerzy Karczmarczuk <
jerzy.karczmarc...@unicaen.fr> wrote:
> Benjamin Root about my miserable event problem :
>
> Still not sure why my suggestion would not work:
>
>
> http://matplotlib.sourceforge.net/api/cbook_api.html#matplotlib.cbook.CallbackRegistry
>
>
> I
Benjamin Root about my miserable event problem :
Still not sure why my suggestion would not work:
http://matplotlib.sourceforge.net/api/cbook_api.html#matplotlib.cbook.CallbackRegistry
I thought I told you. Probably I am doing something utterly false, but
my distilled problem is that*I am gen
