trouble removing tick labels

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trouble removing tick labels

Slavin, Jonathan
Hi,

I'm making a plot that's a grid of 4 x 4 axes. I'd like to remove the tick labels for the y axes that are not in the first column. I tried using what I saw in an example:
for ax in axs.flat:
    ax.label_outer()
but that seems to have no effect. I found where the code that defines that function is and tried to use that code directly:
for ax in axs.flat:
    if ax.colNum != 0:
        for label in ax.get_yticklabels(which='both'):
            label.set_visible(False)
        ax.get_yaxis().get_offset_text().set_visible(False)
        ax.set_ylabel("")
but again no effect. Does anyone have any ideas why these are not working? Any help would be appreciated.

Regards,
Jon


-- 
Jonathan D. Slavin
Astrophysicist - High Energy Astrophysics Division
Center for Astrophysics | Harvard & Smithsonian
Office: (617) 496-7981 | Cell: (781) 363-0035
60 Garden Street | MS 83 | Cambridge, MA 02138



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Re: trouble removing tick labels

Eric Firing
Jon,

If you are removing the tick labels it suggests that the y-axes are all
matched, in which case using

fig, axs = plt.subplots(2, 2, sharey=True)

should do what you want.

If not, please supply a minimal but complete example illustrating the
problem.

Eric

On 2020/03/19 11:36 AM, Slavin, Jonathan wrote:

> Hi,
>
> I'm making a plot that's a grid of 4 x 4 axes. I'd like to remove the
> tick labels for the y axes that are not in the first column. I tried
> using what I saw in an example:
> for ax in axs.flat:
>      ax.label_outer()
> but that seems to have no effect. I found where the code that defines
> that function is and tried to use that code directly:
> for ax in axs.flat:
>      if ax.colNum != 0:
>          for label in ax.get_yticklabels(which='both'):
>              label.set_visible(False)
>          ax.get_yaxis().get_offset_text().set_visible(False)
>          ax.set_ylabel("")
> but again no effect. Does anyone have any ideas why these are not
> working? Any help would be appreciated.
>
> Regards,
> Jon
>
>
> --
> Jonathan D. Slavin
> Astrophysicist - High Energy Astrophysics Division
> Center for Astrophysics | Harvard & Smithsonian
> Office: (617) 496-7981 | Cell: (781) 363-0035
> 60 Garden Street | MS 83 | Cambridge, MA 02138
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/matplotlib-users
>

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Re: trouble removing tick labels

Slavin, Jonathan
In reply to this post by Slavin, Jonathan
Hi Eric,

I think I've isolated the problem. In my figure I have been including colorbars for each plot. In my simple example, which I include below, label_outer works without the colorbars but not with them. 

Regarding using sharey, I am using the same y-axis in each row, but they differ between rows. If I use sharey, things get all messed up - the smaller images are shrunken and only take up part of the figure. In the end I was able to turn off the tick labelling by doing things like:
for label in ax.get_yticklabels(which='both'):
            label.set_visible(False)

I think this may have to do with the attributes of axs getting overwritten or something. If I print
axs[1,1].get_subplotspec().colspan.start
in the case with colorbars I get 0, whereas if I do it without colorbars, I get 1 as I should. Same applies to other axes and to rows.

Here's the minimal example:

import numpy as np
import matplotlib.pyplot as plt

fig,axs = plt.subplots(2,2)
img0 = np.random.random((10,10))
img1 = np.random.random((10,10))
img2 = np.random.random((10,10))
img3 = np.random.random((10,10))
cax0 = axs[0,0].imshow(img0,extent=[0.,10.,0.,10.])
fig.colorbar(cax0,ax=axs[0,0],pad=0.01)
cax1 = axs[0,1].imshow(img1,extent=[0.,10.,0.,10.])
fig.colorbar(cax1,ax=axs[0,1],pad=0.01)
cax2 = axs[1,0].imshow(img2,extent=[0.,10.,0.,10.])
fig.colorbar(cax2,ax=axs[1,0],pad=0.01)
cax3 = axs[1,1].imshow(img3,extent=[0.,10.,0.,10.])
fig.colorbar(cax3,ax=axs[1,1],pad=0.01)
for ax in axs.flat:
    ax.label_outer()
plt.show()

On Fri, Mar 20, 2020 at 11:04 AM <[hidden email]> wrote:
Date: Thu, 19 Mar 2020 12:42:31 -1000
From: Eric Firing <[hidden email]>
To: [hidden email]
Subject: Re: [Matplotlib-users] trouble removing tick labels
Message-ID: <[hidden email]>
Content-Type: text/plain; charset=utf-8; format=flowed

Jon,

If you are removing the tick labels it suggests that the y-axes are all
matched, in which case using

fig, axs = plt.subplots(2, 2, sharey=True)

should do what you want.

If not, please supply a minimal but complete example illustrating the
problem.

Eric

On 2020/03/19 11:36 AM, Slavin, Jonathan wrote:
> Hi,
>
> I'm making a plot that's a grid of 4 x 4 axes. I'd like to remove the
> tick labels for the y axes that are not in the first column. I tried
> using what I saw in an example:
> for ax in axs.flat:
>  ? ? ax.label_outer()
> but that seems to have no effect. I found where the code that defines
> that function is and tried to use that code directly:
> for ax in axs.flat:
>  ? ? if ax.colNum != 0:
>  ? ? ? ? for label in ax.get_yticklabels(which='both'):
>  ? ? ? ? ? ? label.set_visible(False)
>  ? ? ? ? ax.get_yaxis().get_offset_text().set_visible(False)
>  ? ? ? ? ax.set_ylabel("")
> but again no effect. Does anyone have any ideas why these are not
> working? Any help would be appreciated.
>
> Regards,
> Jon
--
Jonathan D. Slavin
Astrophysicist - High Energy Astrophysics Division
Center for Astrophysics | Harvard & Smithsonian
Office: (617) 496-7981 | Cell: (781) 363-0035
60 Garden Street | MS 83 | Cambridge, MA 02138



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Re: trouble removing tick labels

matplotlib - users mailing list
You can use axis.tick_params to turn off the labels.  Replacing

for ax in axs.flat:
    ax.label_outer()

with

for ax in axs.flat[1::2]:
    ax.tick_params(labelleft=False)

will turn off the left tick labels on the plots in the second column

Hth,
Scott

> On Mar 20, 2020, at 2:56 PM, Slavin, Jonathan <[hidden email]> wrote:
>
> Hi Eric,
>
> I think I've isolated the problem. In my figure I have been including colorbars for each plot. In my simple example, which I include below, label_outer works without the colorbars but not with them.
>
> Regarding using sharey, I am using the same y-axis in each row, but they differ between rows. If I use sharey, things get all messed up - the smaller images are shrunken and only take up part of the figure. In the end I was able to turn off the tick labelling by doing things like:
> for label in ax.get_yticklabels(which='both'):
>             label.set_visible(False)
>
> I think this may have to do with the attributes of axs getting overwritten or something. If I print
> axs[1,1].get_subplotspec().colspan.start
> in the case with colorbars I get 0, whereas if I do it without colorbars, I get 1 as I should. Same applies to other axes and to rows.
>
> Here's the minimal example:
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> fig,axs = plt.subplots(2,2)
> img0 = np.random.random((10,10))
> img1 = np.random.random((10,10))
> img2 = np.random.random((10,10))
> img3 = np.random.random((10,10))
> cax0 = axs[0,0].imshow(img0,extent=[0.,10.,0.,10.])
> fig.colorbar(cax0,ax=axs[0,0],pad=0.01)
> cax1 = axs[0,1].imshow(img1,extent=[0.,10.,0.,10.])
> fig.colorbar(cax1,ax=axs[0,1],pad=0.01)
> cax2 = axs[1,0].imshow(img2,extent=[0.,10.,0.,10.])
> fig.colorbar(cax2,ax=axs[1,0],pad=0.01)
> cax3 = axs[1,1].imshow(img3,extent=[0.,10.,0.,10.])
> fig.colorbar(cax3,ax=axs[1,1],pad=0.01)
> for ax in axs.flat:
>     ax.label_outer()
> plt.show()
>
> On Fri, Mar 20, 2020 at 11:04 AM <[hidden email]> wrote:
> Date: Thu, 19 Mar 2020 12:42:31 -1000
> From: Eric Firing <[hidden email]>
> To: [hidden email]
> Subject: Re: [Matplotlib-users] trouble removing tick labels
> Message-ID: <[hidden email]>
> Content-Type: text/plain; charset=utf-8; format=flowed
>
> Jon,
>
> If you are removing the tick labels it suggests that the y-axes are all
> matched, in which case using
>
> fig, axs = plt.subplots(2, 2, sharey=True)
>
> should do what you want.
>
> If not, please supply a minimal but complete example illustrating the
> problem.
>
> Eric
>
> On 2020/03/19 11:36 AM, Slavin, Jonathan wrote:
> > Hi,
> >
> > I'm making a plot that's a grid of 4 x 4 axes. I'd like to remove the
> > tick labels for the y axes that are not in the first column. I tried
> > using what I saw in an example:
> > for ax in axs.flat:
> >  ? ? ax.label_outer()
> > but that seems to have no effect. I found where the code that defines
> > that function is and tried to use that code directly:
> > for ax in axs.flat:
> >  ? ? if ax.colNum != 0:
> >  ? ? ? ? for label in ax.get_yticklabels(which='both'):
> >  ? ? ? ? ? ? label.set_visible(False)
> >  ? ? ? ? ax.get_yaxis().get_offset_text().set_visible(False)
> >  ? ? ? ? ax.set_ylabel("")
> > but again no effect. Does anyone have any ideas why these are not
> > working? Any help would be appreciated.
> >
> > Regards,
> > Jon
> --
>
> Jonathan D. Slavin
> Astrophysicist - High Energy Astrophysics Division
> Center for Astrophysics | Harvard & Smithsonian
> Office: (617) 496-7981 | Cell: (781) 363-0035
> 60 Garden Street | MS 83 | Cambridge, MA 02138
>
> _______________________________________________
> Matplotlib-users mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/matplotlib-users

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Re: trouble removing tick labels

Eric Firing
In reply to this post by Slavin, Jonathan
On 2020/03/20 8:56 AM, Slavin, Jonathan wrote:
> Regarding using sharey, I am using the same y-axis in each row, but they
> differ between rows. If I use sharey, things get all messed up - the
> smaller images are shrunken and only take up part of the figure.

I think you want "sharey='row'".

Eric
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Re: trouble removing tick labels

Slavin, Jonathan
In reply to this post by Slavin, Jonathan
Hi Eric et al.,

So I have confirmed that the thing that prevents label_outer from working the way I would expect it to is that after adding a colorbar to the subplot axes, the attributes colNum and rowNum are set to 0. Would you consider this a bug? I think I would. I'm thinking that it's because adding the colorbar creates a new set of axes into which the colorbar is placed. A minimal example that illustrates the issue is:

fig,axs = plt.subplots(1,2)
img0 = np.random.random((5,5))
img1 = np.random.random((5,5))
cax0 = axs[0].imshow(img0)
fig.colorbar(cax0,ax=axs[0])
cax1 = axs[1].imshow(img1)
print(f'axs[1].column = {axs[1].colNum}') # value is 1
fig.colorbar(cax1,ax=axs[1])
print(f'axs[1].column = {axs[1].colNum}') # values is 0
plt.show()

Jon

On Fri, Mar 20, 2020 at 2:56 PM Slavin, Jonathan <[hidden email]> wrote:
Hi Eric,

I think I've isolated the problem. In my figure I have been including colorbars for each plot. In my simple example, which I include below, label_outer works without the colorbars but not with them. 

Regarding using sharey, I am using the same y-axis in each row, but they differ between rows. If I use sharey, things get all messed up - the smaller images are shrunken and only take up part of the figure. In the end I was able to turn off the tick labelling by doing things like:
for label in ax.get_yticklabels(which='both'):
            label.set_visible(False)

I think this may have to do with the attributes of axs getting overwritten or something. If I print
axs[1,1].get_subplotspec().colspan.start
in the case with colorbars I get 0, whereas if I do it without colorbars, I get 1 as I should. Same applies to other axes and to rows.

Here's the minimal example:

import numpy as np
import matplotlib.pyplot as plt

fig,axs = plt.subplots(2,2)
img0 = np.random.random((10,10))
img1 = np.random.random((10,10))
img2 = np.random.random((10,10))
img3 = np.random.random((10,10))
cax0 = axs[0,0].imshow(img0,extent=[0.,10.,0.,10.])
fig.colorbar(cax0,ax=axs[0,0],pad=0.01)
cax1 = axs[0,1].imshow(img1,extent=[0.,10.,0.,10.])
fig.colorbar(cax1,ax=axs[0,1],pad=0.01)
cax2 = axs[1,0].imshow(img2,extent=[0.,10.,0.,10.])
fig.colorbar(cax2,ax=axs[1,0],pad=0.01)
cax3 = axs[1,1].imshow(img3,extent=[0.,10.,0.,10.])
fig.colorbar(cax3,ax=axs[1,1],pad=0.01)
for ax in axs.flat:
    ax.label_outer()
plt.show()

On Fri, Mar 20, 2020 at 11:04 AM <[hidden email]> wrote:
Date: Thu, 19 Mar 2020 12:42:31 -1000
From: Eric Firing <[hidden email]>
To: [hidden email]
Subject: Re: [Matplotlib-users] trouble removing tick labels
Message-ID: <[hidden email]>
Content-Type: text/plain; charset=utf-8; format=flowed

Jon,

If you are removing the tick labels it suggests that the y-axes are all
matched, in which case using

fig, axs = plt.subplots(2, 2, sharey=True)

should do what you want.

If not, please supply a minimal but complete example illustrating the
problem.

Eric

On 2020/03/19 11:36 AM, Slavin, Jonathan wrote:
> Hi,
>
> I'm making a plot that's a grid of 4 x 4 axes. I'd like to remove the
> tick labels for the y axes that are not in the first column. I tried
> using what I saw in an example:
> for ax in axs.flat:
>  ? ? ax.label_outer()
> but that seems to have no effect. I found where the code that defines
> that function is and tried to use that code directly:
> for ax in axs.flat:
>  ? ? if ax.colNum != 0:
>  ? ? ? ? for label in ax.get_yticklabels(which='both'):
>  ? ? ? ? ? ? label.set_visible(False)
>  ? ? ? ? ax.get_yaxis().get_offset_text().set_visible(False)
>  ? ? ? ? ax.set_ylabel("")
> but again no effect. Does anyone have any ideas why these are not
> working? Any help would be appreciated.
>
> Regards,
> Jon
--
Jonathan D. Slavin
Astrophysicist - High Energy Astrophysics Division
Center for Astrophysics | Harvard & Smithsonian
Office: (617) 496-7981 | Cell: (781) 363-0035
60 Garden Street | MS 83 | Cambridge, MA 02138




--
Jonathan D. Slavin
Astrophysicist - High Energy Astrophysics Division
Center for Astrophysics | Harvard & Smithsonian
Office: (617) 496-7981 | Cell: (781) 363-0035
60 Garden Street | MS 83 | Cambridge, MA 02138



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Matplotlib-users mailing list
[hidden email]
https://mail.python.org/mailman/listinfo/matplotlib-users