matplotlib-users Mailing List for matplotlib

On Tue, Jul 19, 2011 at 9:14 AM, Jakub Nowacki <j.s...@gm...>wrote:

> Thanks for the answers.
>
>
>> Jakub, if possible, could you test out the latest matplotlib in
>> development on github?  I have been working hard in this.  If not, you
>> could also always operate directly through the axis objects
>> themselves, such as: ax.zaxis (although, you might have to do
>> ax.w_zaxis).
>>
>
> OK, I can use axis through w_*axis to control them. The function set_ticks
> works(ish) in that case but the axes is for some reason flushed to the left
> (it filled the image before) as can be seen in the enclosed image. This
> behaviour has nothing to do with the ticks values nor the axis (brakes the
> same for x, y and z axis). The selected ticks are updated though, just the
> whole projection (?) brakes.
>
>
Curious, I haven't encountered that before.  Is it possible to include a
code sample that reproduces the problem for you?



> The below suggestion by José works correctly without the effect shown in
> the image.
>
>
> a1.w_yaxis.set_major_locator(**LinearLocator(5))
> a1.w_zaxis.set_major_locator(**LinearLocator(5))
>
> As for the github version, I can try it out in some future but currently I
> don't have time. Also installing new stuff into EPD is not necessary too
> trivial.
>
>
Fair enough. I am glad you found a solution that works for you.

Ben Root

Thanks for the answers.
>
> Jakub, if possible, could you test out the latest matplotlib in
> development on github?  I have been working hard in this.  If not, you
> could also always operate directly through the axis objects
> themselves, such as: ax.zaxis (although, you might have to do
> ax.w_zaxis).

OK, I can use axis through w_*axis to control them. The function 
set_ticks works(ish) in that case but the axes is for some reason 
flushed to the left (it filled the image before) as can be seen in the 
enclosed image. This behaviour has nothing to do with the ticks values 
nor the axis (brakes the same for x, y and z axis). The selected ticks 
are updated though, just the whole projection (?) brakes.

The below suggestion by José works correctly without the effect shown in 
the image.

a1.w_yaxis.set_major_locator(LinearLocator(5))
a1.w_zaxis.set_major_locator(LinearLocator(5))

As for the github version, I can try it out in some future but currently 
I don't have time. Also installing new stuff into EPD is not necessary 
too trivial.

Thanks for the suggestions.

Cheers,

Jakub

On Tuesday, July 19, 2011, José Alexandre Nalon <na...@te...> wrote:
> Hello,
>
> Em 19/07/2011, às 08:09, Jakub Nowacki escreveu:
>
>> But I've found that _nbins doesn't do
>> anything (also, there is no zaxis object), set_zticks return an error
>> 'AttributeError: 'Axes3DSubplot' object has no attribute 'set_zticks''
>> and set_x(y)ticks changes ticks of not 3d axis but 2d one. Is there any
>> (other) way to influence the number of ticks?
>
> I don't know if that will help you, but I used the command below:
>
> a1.w_yaxis.set_major_locator(LinearLocator(5))
> a1.w_zaxis.set_major_locator(LinearLocator(5))
>
> Notice that you are not using xaxis, yaxis or zaxis, these properties
> do not exist and give you the attribute error you are getting. But,
> adding w_ in front of the name of the axis it works perfectly. You
> can use locators and formatters in this way.
>
> Also, notice that if you want to control axis limits, you should use
> set_xlim3d, set_ylim3d and set_zlim3d. While these commands are a
> little more cumbersome to use, I could get a lot of control over 3d
> plots using them.
>
> Hope this helps!
>

Just a heads-up, this will no longer be necessary in the upcoming
v1.1.0 release. They will still be valid, but not required.

Ben Root

Hello,

Em 19/07/2011, às 08:09, Jakub Nowacki escreveu:

> But I've found that _nbins doesn't do 
> anything (also, there is no zaxis object), set_zticks return an error 
> 'AttributeError: 'Axes3DSubplot' object has no attribute 'set_zticks'' 
> and set_x(y)ticks changes ticks of not 3d axis but 2d one. Is there any 
> (other) way to influence the number of ticks?

I don't know if that will help you, but I used the command below:

a1.w_yaxis.set_major_locator(LinearLocator(5))
a1.w_zaxis.set_major_locator(LinearLocator(5))

Notice that you are not using xaxis, yaxis or zaxis, these properties
do not exist and give you the attribute error you are getting. But,
adding w_ in front of the name of the axis it works perfectly. You
can use locators and formatters in this way.

Also, notice that if you want to control axis limits, you should use
set_xlim3d, set_ylim3d and set_zlim3d. While these commands are a
little more cumbersome to use, I could get a lot of control over 3d
plots using them.

Hope this helps!

---
José Alexandre Nalon
na...@te...

On Tuesday, July 19, 2011, Jakub Nowacki <j.s...@gm...> wrote:
> Dear All,
>
> I've found it impossible to get some control over ticks in a 3D plot
> (Axes3D, using with projection='3d' option) in Matplotlib 1.0.1 (EPD
> 7.1-1 linux 64-bit). Namely, I have one out of four subplots, that is 3D
> and it has much to many ticks (tick labels to be exact), which makes
> them unreadable (most of them overlay on one another, not mentioning
> axis labels are covered as well). Usually in such situations I used
> set_x(y)ticks with some values or ax.x(y)axis.get_major_locator()._nbins
> if I just wanted a certain number. But I've found that _nbins doesn't do
> anything (also, there is no zaxis object), set_zticks return an error
> 'AttributeError: 'Axes3DSubplot' object has no attribute 'set_zticks''
> and set_x(y)ticks changes ticks of not 3d axis but 2d one. Is there any
> (other) way to influence the number of ticks?
>
> Thanks for the help in advance.
>
> Best wishes,
>
> Jakub
>

Jakub, if possible, could you test out the latest matplotlib in
development on github?  I have been working hard in this.  If not, you
could also always operate directly through the axis objects
themselves, such as: ax.zaxis (although, you might have to do
ax.w_zaxis).

Ben Root

Dear All,

I've found it impossible to get some control over ticks in a 3D plot 
(Axes3D, using with projection='3d' option) in Matplotlib 1.0.1 (EPD 
7.1-1 linux 64-bit). Namely, I have one out of four subplots, that is 3D 
and it has much to many ticks (tick labels to be exact), which makes 
them unreadable (most of them overlay on one another, not mentioning 
axis labels are covered as well). Usually in such situations I used 
set_x(y)ticks with some values or ax.x(y)axis.get_major_locator()._nbins 
if I just wanted a certain number. But I've found that _nbins doesn't do 
anything (also, there is no zaxis object), set_zticks return an error 
'AttributeError: 'Axes3DSubplot' object has no attribute 'set_zticks'' 
and set_x(y)ticks changes ticks of not 3d axis but 2d one. Is there any 
(other) way to influence the number of ticks?

Thanks for the help in advance.

Best wishes,

Jakub