Federico,
You were so close! Try this:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(range(100), range(100))
#If comment the following line everything is fine
ax.set_xscale('log')
xaxis = ax.get_xaxis()
xaxis.grid(False, which='minor')
xaxis.grid(False, which='major')
plt.show()
Hope that helps,
-paul
On Wed, Feb 29, 2012 at 4:09 PM, Federico Ariza
<ariza.feder...@gmail.com> wrote:
> Hi
>
> If I set the scale to log and set the grid to minor
> then, it is impossible to deactivate the grid
> It does not happen with major or without the logscale
>
> The code to reproduce the problem
>
>
> import matplotlib.pyplot as plt
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.plot(range(100), range(100))
>
> #If comment the following line everything is fine
> ax.set_xscale('log')
>
> xaxis = ax.get_xaxis()
> xaxis.grid(which = 'Minor')
> xaxis.grid(False)
> plt.show()
>
>
> Thanks
> Federico
> --
> Y yo que culpa tengo de que ellas se crean todo lo que yo les digo?
>
> -- Antonio Alducin --
>
> ------------------------------------------------------------------------------
> Virtualization & Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
> http://www.accelacomm.com/jaw/sfnl/114/51521223/
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Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
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