Erik, that doesn't seem to work either. I tried this:
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
class TrimmedMultipleLocator(MultipleLocator):
def tick_values(self, vmin, vmax):
return MultipleLocator.tick_values(self, vmin, vmax)[2:]
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.xaxis.set_major_locator(TrimmedMultipleLocator(5))
#xticks[0].label1.set_visible(False)
#xticks[-1].label1.set_visible(False)
#ax1.set_xticks(ax1.xaxis.get_major_ticks()[1:-1])
ax1.plot(list(range(21)))
plt.show()
Here is an example of the use of prune='lower', but it does not allow
one to set the tick step size:
http://stackoverflow.com/questions/9422587/overlapping-y-axis-tick-label-and-x-axis-tick-label-in-matplotlib
I think my best bet is to just set those ticks manually.
On Sat, Feb 14, 2015 at 6:19 PM, Eric Firing <efir...@hawaii.edu> wrote:
> On 2015/02/14 7:33 AM, Tommy Carstensen wrote:
>> Thanks again Ryan. That's exactly what I want to achieve; i.e. remove
>> the tick at 0 and only keep 5 and 10. Your solution works, but it's a
>> bit of hack to use magic constants. I could however get those values
>> from the xlim.
>>
>> Eric, I would describe the desired tick placement algorithm as
>> removing the first tick on the axis. It can be achieved like this:
>> ax1.xaxis.set_major_locator(MaxNLocator(prune='lower'))
>
> Aha! The problem is that the MaxNLocator is the only one with the prune
> kwarg. It could be added to the MultipleLocator. For now, though, you
> can make your own specialized Locator, hardwired to omit the first tick,
> like this:
>
> from matplotlib.ticker import MultipleLocator
>
> class TrimmedMultipleLocator(MultipleLocator):
> def tick_values(self, vmin, vmax):
> return MultipleLocator.tick_values(self, vmin, vmax)[1:]
>
> then just use
>
> ax1.xaxis.set_major_locator(TrimmedMultipleLocator(5))
>
> I haven't tested it--but give it a try. What it is doing is making a
> subclass of MultipleLocator, and altering only the one little bit of its
> behavior that you want to modify. Everything else is automatically
> inherited from the base class, MultipleLocator.
>
> Eric
>
>
>>
>> But that then overrides this:
>> ax1.xaxis.set_major_locator(MultipleLocator(5))
>>
>> On Sat, Feb 14, 2015 at 5:27 PM, Ryan Nelson <rnelsonc...@gmail.com> wrote:
>>> Tommy, (Sorry for the doubleup. I just realized I forgot to hit reply-all.)
>>>
>>> Do you want to remove the tick at 0 and only have 5,10, etc.? Could you just
>>> do something like this instead:
>>>
>>> import matplotlib.pyplot as plt
>>> from matplotlib.ticker import MultipleLocator
>>> fig = plt.figure()
>>> ax1 = fig.add_subplot(111)
>>> ax1.set_xticks(range(5,11,5))
>>> ax1.plot(range(11))
>>> plt.show()
>>>
>>> Ryan
>>>
>>>
>>> On Sat, Feb 14, 2015 at 10:47 AM, Tommy Carstensen
>>> <tommy.carsten...@gmail.com> wrote:
>>>>
>>>> Thanks for you answer Eric. I had to get some sleep before trying out
>>>> things. I currently have the code below, but it does not remove the
>>>> zero value tick. It removes the tick at 5 and 10 however.
>>>>
>>>> import matplotlib.pyplot as plt
>>>> from matplotlib.ticker import MultipleLocator
>>>> fig = plt.figure()
>>>> ax1 = fig.add_subplot(111)
>>>> ax1.xaxis.set_major_locator(MultipleLocator(5))
>>>> xticks = ax1.xaxis.get_major_ticks()
>>>> #xticks[0].label1.set_visible(False)
>>>> #xticks[-1].label1.set_visible(False)
>>>> ax1.set_xticks(ax1.get_xticks()[1:-1])
>>>> ax1.plot(list(range(11)))
>>>> plt.show()
>>>>
>>>> On Sat, Feb 14, 2015 at 2:01 AM, Eric Firing <efir...@hawaii.edu> wrote:
>>>>> On 2015/02/13 3:29 PM, Tommy Carstensen wrote:
>>>>>> Is it possible to combine MultipleLocator and MaxNLocator? One seems
>>>>>> to erase the effect of the other.
>>>>>
>>>>> They are for different situations. MultipleLocator is for when you know
>>>>> what you want your tick interval to be; MaxNLocator is for when you
>>>>> don't know that, but you do know roughly how many ticks you want, and
>>>>> what sort of numerical intervals are acceptable.
>>>>>
>>>>> Eric
>>>>>
>>>>>
>>>>>
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