labels not working about python-ternary HOT 24 OPEN

matpotlib-1.5
ipython-4.0.1
spyder-2.3.7

by adding _redraw_labels, i manage to get the labels for the 3 axis. not sure if this is intended

d.set_title(r"source flavour composition $\nu_e,\nu_\mu,\nu_\tau$",fontsize=20)
d.left_axis_label(r"$|\nu_e|$",fontsize=15)
d.right_axis_label(r"$|\nu_\mu|$",fontsize=15)
d.bottom_axis_label(r"$|\nu_\tau|$",fontsize=15)
d._redraw_labels()

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On the latest branch, the following (nearly identical) code works for me:

import ternary
import matplotlib.pyplot as pyplot

scale, fontsize = 1, 12
figure, ax = pyplot.subplots()
tax = ternary.TernaryAxesSubplot(ax=ax)

tax.set_title("Evolution of 6-6-3 signaler games under ambiguity", fontsize=fontsize)
tax.left_axis_label("Left label $\\alpha^2$", fontsize=fontsize)
tax.right_axis_label("Right label $\\beta^2$", fontsize=fontsize)
tax.bottom_axis_label("Bottom label $\\Gamma - \\Omega$", fontsize=fontsize)

tax.boundary(linewidth=2.0)
tax.gridlines(multiple=0.1, color="blue")

tax.plot( ((0.1,0.8,0.1),(0.8,0.1,0.1)) )

#tax.scatter( x, marker='s')
tax.legend()
tax.ticks(axis='lbr', linewidth=1, multiple=0.1)

tax.show()

: http://postimg.org/image/qmh1f7mpl/full/

Are you using an older version of matplotlib? Someone else reported something similar a while ago. I just used mpl 1.4.2 on python 2.7 and python 3.4.3 (the Ubuntu packaged versions).

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Hi, I had similar issue with the label, I'm using spyder(anaconda) for mac on python 3.4

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I appreciate the reports but I really need more information. The matplotlib version seems to be important -- this may be an upstream issue, or something that can be worked around.

I don't have a Mac to test with.

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That is helpful -- the labels have to be redrawn on resizing and other operations so that the angles are right. I can add more rendering hooks.

If you show the image and resize the window do the labels appear? Perhaps there is a difference in rendering or event handling based on the backend or mpl version.

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figure, d=t.figure(scale=1)

d.boundary(linewidth=2.0)
d.gridlines(multiple=0.1,color="blue",linewidth=0.8)
d.gridlines(multiple=0.02,color="green",linewidth=0.4)

d.set_title(r"source flavour composition $\nu_e,\nu_\mu,\nu_\tau$",fontsize=20)
d.left_axis_label(r"$|\nu_e|$",fontsize=15)
d.right_axis_label(r"$|\nu_\mu|$",fontsize=15)
d.bottom_axis_label(r"$|\nu_\tau|$",fontsize=15)
#d._redraw_labels()

d.ticks(axis='rlb',multiple=0.1,axes_colors={'l': 'g', 'r':'b', 'b': 'r'},clockwise=False,label=ticks)
p.axis('off')
point=[(1/3,1/3,1/3)]
d.scatter(point, marker='D', color='green', label="Green Diamonds",)
d.resize_drawing_canvas(scale=1.05)
d.legend
d.show()

after i uncomment _redraw_labels() line, I was able to get the label shown

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my ipython console renders the image in a separate interactive window, I could do it inline but would prefer a separate window to check on the plots. I have try tinker with the offset with various value but it just does not show the label without the _redraw_labels line.

while my code i pasted here, is there any way I could change the orientation of the ticks? with the clockwise=True but maintaining the same orientation as clockwise=False. I have check some of the past closed issues but can't get my head around it.

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I added the label draw callback to the "draw_event" of mpl -- hopefully that causes the labels to be drawn initially as expected. The label positioning does not take much into account: there's no easy way to predict what the latex will render to as far as I know, what all the font-sizes are, etc., so you'll have to adjust the offsets as needed.

I'm not sure what you are asking regarding the tick orientation -- the library implements the two standard choices. Can you be more specific?

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something similar to issue#31

I am trying to produce something similar to this https://inspirehep.net/record/1343979/files/flav_scan-eps-converted-to.png

but I can't seem to get for example the bottom axis to go 0 to 1 instead of 1 to 0. When I try to add clockwise=True to ticks. It does go 0 to 1 but the orientation changes.

from issue #31,`I can't seem to understand the phrase u mentioned "You can pass clockwise=True to ticks to reverse the orientation (which changes the tick angles)." right after the second plot image. would you elaborate on that?

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Resizing didn’t help, but…adding _redraw_labels() DID!

I haven’t pulled the latest github version, so this is using the version I had with my original comment.

j

On Nov 29, 2015, at 2:16 PM, Marc Harper, PhD [email protected] wrote:

I added the label draw callback to the "draw_event" of mpl -- hopefully that causes the labels to be drawn initially as expected. The label positioning does not take much into account: there's no easy way to predict what the latex will render to as far as I know, what all the font-sizes are, etc., so you'll have to adjust the offsets as needed.

I'm not sure what you are asking regarding the tick orientation -- the library implements the two standard choices. Can you be more specific?

—
Reply to this email directly or view it on GitHub #36 (comment).

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@hareyakana You can manually give the tick labels as an argument to tax.ticks(ticks=[]) to change the default labeling order. If you need something other than the two orientations for some reason them you'll have to transform the data before plotting.

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@jamesafoster that's bizarre. I'm glad there is a workaround for now. My guess is that various combinations of mpl backend and version trigger events differently, and so sometimes label drawing doesn't occur.

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If either of you can check the github master branch that would be most appreciated. If it's fixed I'll push a new pypi version.

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I still don’t get labels unless I re-size (yes, that works now…I think I may not have tested it correctly before), or redraw the axes.

I get the following message: /Users/jamesafoster/anaconda/lib/python3.4/site-packages/matplotlib/axes/_axes.py:475: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.
warnings.warn("No labelled objects found. "

To be honest, I’m not sure I downloaded the correct build. On gitgub, I think I’m looking at teh master branch, and I downloaded and installed that.

Thanks for looking into this!

j

James A. Foster
Professor, University of Idaho
Institute for Bioinformatics & Evolutionary STudies (IBEST)


> On Nov 30, 2015, at 12:19 PM, Marc Harper, PhD <[email protected]> wrote:
> 
> If either of you can check the github master branch that would be most appreciated. If it's fixed I'll push a new pypi version.
> 
> —
> Reply to this email directly or view it on GitHub <https://github.com/marcharper/python-ternary/issues/36#issuecomment-160749250>.
> 

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I have tried with the latest master branch and it does not show the axis label without _redraw_labels()

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Ok, thanks. Unfortunately I still cannot reproduce the issue, so for now you'll have to call _redraw_labels() manually.

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In our earlier exchange, you had one example of code that moved labels out from the ternary plot tick marks. But I lost it! How did you do that??

This is what I have, and I’m trying to make it look better.

Thanks for any pointers.

James A. Foster
Professor, University of Idaho
Institute for Bioinformatics & Evolutionary STudies (IBEST)




> On Nov 29, 2015, at 9:39 AM, hareyakana <[email protected]> wrote:
> 
> matpotlib-1.5
> ipython-4.0.1
> spyder-2.3.7
> 
> by adding _redraw_labels, i manage to get the labels for the 3 axis. not sure if this is intended
> 
> d.set_title(r"source flavour composition $\nu_e,\nu_\mu,\nu_\tau$",fontsize=20)
> d.left_axis_label(r"$|\nu_e|$",fontsize=15)
> d.right_axis_label(r"$|\nu_\mu|$",fontsize=15)
> d.bottom_axis_label(r"$|\nu_\tau|$",fontsize=15)
> d._redraw_labels()
> —
> Reply to this email directly or view it on GitHub <https://github.com/marcharper/python-ternary/issues/36#issuecomment-160435267>.
> 

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I just resize the window after plotting until the spacing looks right; you can also set the image size before calling pyplot.savefig(). Unfortunately this isn't something that is easy to do automatically because of differences in font size and screen size. If anyone has ideas, please share.

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Thanks for that!

You also had a call that moved the tick labels and the labels on the edges OUT further. I think it was a call to an underlying matplotlib method, but I can’t find or remember what it was. Do you? (I’m new with matplotlib, so I suspect the answer is not specific to ternary and is probably known to most people who use matplotlib).

j

On Dec 19, 2015, at 10:32 AM, Marc Harper [email protected] wrote:

I just resize the window after plotting until the spacing looks right; you can also set the image size before calling pyplot.savefig(). Unfortunately this isn't something that is easy to do automatically because of differences in font size and screen size. If anyone has ideas, please share.

—
Reply to this email directly or view it on GitHub #36 (comment).

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I don't recall anything like that, but some of the ternary methods do take an offset parameter that should move the labels outward a bit. Resizing the image window after pyplot.show() does have a similar effect in many cases. You can also reduce the font size.

I would prefer the library to do this automatically, but AFAIK there is not a good way to determine the rendering size of a label beforehand. I'll look into again.

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Thanks, Marc. Don’t spend too much time on my account. I’ll follow up these hints.

j

On Dec 19, 2015, at 10:57 AM, Marc Harper [email protected] wrote:

I don't recall anything like that, but some of the ternary methods do take an offset parameter that should move the labels outward a bit. Resizing the image window after pyplot.show does have a similar effect in many cases. You can also reduce the font size.

I would prefer the library to do this automatically, but AFAIK there is not a good way to determine the rendering size of a label beforehand. I'll look into again.

—
Reply to this email directly or view it on GitHub #36 (comment).

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Let us know if you find anything useful. This is something the library could probably handle better.

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I ran into a similar issue that labels are not drawn under certain circumstances. It seems to be related to the fact that rasterized outputs are treated differently by matplotlib than vector images.

The following code produces the expected output if rendered to .png, but the labels are missing from the diagrams if it's exported to .pdf, unless _redraw_labels() is called manually before saving.

I assume that when exporting to *.pdf, *.svg and *.eps, there is no draw_event emitted by matplotlib. Is there a better way to do this?

fig, axes = plt.subplots(1,2,figsize=(5, 2))
fig, tax1 = ternary.figure(scale=4, ax=axes[0])
fig, tax2 = ternary.figure(scale=4, ax=axes[1])

for tax in [tax1, tax2]:
    tax.boundary()
    tax.bottom_axis_label("a")
    tax.right_axis_label("b")
    tax.left_axis_label("c")
for ax in axes:
    ax.axis("off")
tax2._redraw_labels()
fig.savefig("./testtriangles.pdf", bbox_inches='tight')  # Only labels of tax2 are drawn
fig.savefig("./testtriangles.png", bbox_inches='tight')  # All labels are drawn

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For now my recommendation is to use _redraw_labels(). Unfortunately we're not also wrapping fig because the solution in that case would be to override savefig to always redraw first. And that won't work for tax because it could be part of a larger plot or there could be multiple figures.

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