>
> I don't know if this will work for you, but in your situation I would
> probably just make another axis for the data with no y value. Like, a short
> squat axis directly below the main axis.
>
> -Jeff
>
Thanks. That crossed my mind, but I never tried it yet. I thought it
would take up too m
On Nov 23, 2011, at 4:09 PM, C M wrote:
>
>
> On Tue, Nov 22, 2011 at 3:09 PM, Nicolas Rougier
> wrote:
>
> Is that what you want ?
>
> No ticks, no labels:
>
> import matplotlib.pyplot as plt
> plt.plot(np.arange(10), np.arange(10))
> plt.ylim(0,10)
> plt.yticks(np.linspace(3,10,8))
> plt.sho
On Tue, Nov 22, 2011 at 3:09 PM, Nicolas Rougier
wrote:
>
> Is that what you want ?
>
> No ticks, no labels:
>
> import matplotlib.pyplot as plt
> plt.plot(np.arange(10), np.arange(10))
> plt.ylim(0,10)
> plt.yticks(np.linspace(3,10,8))
> plt.show()
>
Thanks. That works in your example, but in m
Is that what you want ?
No ticks, no labels:
import matplotlib.pyplot as plt
plt.plot(np.arange(10), np.arange(10))
plt.ylim(0,10)
plt.yticks(np.linspace(3,10,8))
plt.show()
Ticks but no labels:
import matplotlib.pyplot as plt
plt.plot(np.arange(10), np.arange(10))
plt.ylim(0,10)
plt.yticks(n
