Ryan May writes:
> On Jul 30, 2010, at 14:34, Nikolaus Rath
> 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)**2 + Ys**2) - 0.10
>> fig = plt.figure()
>> ax = fig.add_subplot(
On Jul 30, 2010, at 14:34, Nikolaus Rath 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)**2 + Ys**2) - 0.10
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.contour(X, Y, Z)
> fig.s
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)**2 + Ys**2) - 0.10
fig = plt.figure()
ax = fig.add_subplot(111)
ax.contour(X, Y, Z)
fig.show()
This works, but gives the y axis a different scale than the x axis
