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Thanks for your suggestion Oscar. I tried editing the ticks like this, but
this method removes both the tick marks and the labels.
I think I have found a decent solution. Unfortunately my solution required
a very particular order of operations. It is much less convenient than the
functions provided in the API like tick_params(), which don't care if you
have run plt.draw() ahead of time...
1) Run all of the setup for the plot and also the plotting commands
(ax.plot(), ax.hist()...whatever)
2) Run `plt.draw()` because this updates the tick objects contained in
your axes.
3) Grab your Tick objects: `ticks = ax.[x/y]axis.[major/minor]Ticks`
4) For each tick you want to hide do:
 `tick.tick1On = False`
 `tick.tick2On = False`
The `1` and `2` refer to the bottom, top (left, right) for the x (y) axis
respectively.
5) Run plt.show(), fig.show() or fig.savefig or whatever else you are using.
Ahhhhh, no messy ticks in the corner!
Julian
On Fri, Jan 29, 2016 at 10:49 AM, Oscar Benjamin <osc...@gm...
> wrote:
> On 28 January 2016 at 19:49, Julian Irwin <jul...@gm...> wrote:
> >
> >
> > I am looking for a way to hide tick marks (not the labels!) that
> coincide with axis lines. I think this is a problem for me because of the
> relative line thicknesses of my axis lines and tick marks, but I want to
> leave those thicknesses unchanged (I like the look of the thickness
> settings I am using now).
>
> Try this:
>
> from matplotlib import pyplot as plt
> fig = plt.figure()
> ax = fig.add_subplot(1, 1, 1)
> ax.plot([0, 1], [0, 1])
> print(ax.get_xticks())
> ax.set_xticks(ax.get_xticks()[1:-1]) # Remove first and last ticks
> print(ax.get_xticks())
>
> --
> Oscar
>

You've already done it. But we encourage you to take a crack at it. I would
suggest just first factoring it out into a new file
lib/matplotlib/hexbin.py and have the current function utilize it. When
that is done, we can look to getting it into numpy as well. We will need a
copy of it ourselves for compatibility with older releases of numpy.
Let us know if you have questions!
Ben Root
On Jan 30, 2016 8:45 PM, "Sebastian" <se...@gm...> wrote:
> Ahhhh thats too bad (that we can't recover the original ids.)
> What could one (as user) do to officially request it be fixed/factored out
> to numpy?
>
>
>
> On Fri, Jan 29, 2016 at 7:30 PM, Thomas Caswell <tca...@gm...>
> wrote:
>
>> Factor it out and give it to numpy!
>>
>> On Fri, Jan 29, 2016, 17:27 Benjamin Root <ben...@gm...> wrote:
>>
>>> Hmm, you are right, there is no way to get back the information that
>>> hexbin computed. The hexbin function is massive (in
>>> lib/matplotlib/axes/_axes.py) and is a bit tangled up with the
>>> artist-handling code, too. I think it would make sense to factor out the
>>> hexbinning component into its own hexbin.py that others might be able to
>>> use separately.
>>>
>>> Ben Root
>>>
>>>
>>> On Fri, Jan 29, 2016 at 5:15 PM, Sebastian <se...@gm...> wrote:
>>>
>>>> Is there a simple way to hexbin using "pyplot.hexbin" and to return
>>>> the ids of the set of
>>>> points in each hexbin? That is to output an array of n elements
>>>> (one for each hexbin), and each element itself an array with the point
>>>> ids? The sum
>>>> of the number of inner elements would be equal the sum of all points
>>>> (x,y).
>>>>
>>>> Is hexbin missing this simple feature?
>>>>
>>>> Or perhaps specifying C=N.arange(len(x)) then some specific
>>>> "reduced_C_function"
>>>> to return those elements. But I don't know if there is a
>>>> "reduced_C_function" available,
>>>> or perhaps one could be added?
>>>>
>>>> many thanks in advance...
>>>>
>>>> link:
>>>> http://stackoverflow
>>>> .com/questions/18886461/how-can-i-print-a-list-of-the-outputs-from-the-
>>>> hexbin-reduce-c-function/35088073#35088073
>>>>
>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Site24x7 APM Insight: Get Deep Visibility into Application Performance
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>>>> _______________________________________________
>>>> Matplotlib-users mailing list
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>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
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>>> Site24x7 APM Insight: Get Deep Visibility into Application Performance
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>>
>

Ahhhh thats too bad (that we can't recover the original ids.)
What could one (as user) do to officially request it be fixed/factored out
to numpy?
On Fri, Jan 29, 2016 at 7:30 PM, Thomas Caswell <tca...@gm...> wrote:
> Factor it out and give it to numpy!
>
> On Fri, Jan 29, 2016, 17:27 Benjamin Root <ben...@gm...> wrote:
>
>> Hmm, you are right, there is no way to get back the information that
>> hexbin computed. The hexbin function is massive (in
>> lib/matplotlib/axes/_axes.py) and is a bit tangled up with the
>> artist-handling code, too. I think it would make sense to factor out the
>> hexbinning component into its own hexbin.py that others might be able to
>> use separately.
>>
>> Ben Root
>>
>>
>> On Fri, Jan 29, 2016 at 5:15 PM, Sebastian <se...@gm...> wrote:
>>
>>> Is there a simple way to hexbin using "pyplot.hexbin" and to return the
>>> ids of the set of
>>> points in each hexbin? That is to output an array of n elements
>>> (one for each hexbin), and each element itself an array with the point
>>> ids? The sum
>>> of the number of inner elements would be equal the sum of all points
>>> (x,y).
>>>
>>> Is hexbin missing this simple feature?
>>>
>>> Or perhaps specifying C=N.arange(len(x)) then some specific
>>> "reduced_C_function"
>>> to return those elements. But I don't know if there is a
>>> "reduced_C_function" available,
>>> or perhaps one could be added?
>>>
>>> many thanks in advance...
>>>
>>> link:
>>> http://stackoverflow
>>> .com/questions/18886461/how-can-i-print-a-list-of-the-outputs-from-the-
>>> hexbin-reduce-c-function/35088073#35088073
>>>
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Site24x7 APM Insight: Get Deep Visibility into Application Performance
>>> APM + Mobile APM + RUM: Monitor 3 App instances at just 35ドル/Month
>>> Monitor end-to-end web transactions and take corrective actions now
>>> Troubleshoot faster and improve end-user experience. Signup Now!
>>> http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>> ------------------------------------------------------------------------------
>> Site24x7 APM Insight: Get Deep Visibility into Application Performance
>> APM + Mobile APM + RUM: Monitor 3 App instances at just 35ドル/Month
>> Monitor end-to-end web transactions and take corrective actions now
>> Troubleshoot faster and improve end-user experience. Signup Now!
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>> _______________________________________________
>> Matplotlib-users mailing list
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>>
>