Eric Firing 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 be a check.
>
> For sensible output, it i
> 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 be a check.
For sensible output, it is a requirement. Contour a
On Fri, Oct 29, 2010 at 12:25 PM, Nikolaus Rath wrote:
> Benjamin Root 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
Benjamin Root 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 method
>> itself does not even b
On Fri, Oct 29, 2010 at 7:44 AM, Nikolaus Rath wrote:
> Benjamin Root 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:
> >>
> >
Benjamin Root writes:
> On Thu, Oct 28, 2010 at 3:31 PM, Nikolaus Rath
> wrote:
>
>> 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('troubl
On Thu, Oct 28, 2010 at 3:31 PM, Nikolaus Rath wrote:
> 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)
> f
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 Phi
