Legends missing in IPython Notebooks when plotting inline about ggpy HOT 27 CLOSED

Oh man this is extremely annoying. I think it's because the legend is actually "outside of the figure" if that makes sense. My hunch is that there's some sort of default config parameter that gets set somewhere that would fix this in 1 line of code. Maybe try stackoverflow or ask fperez?

from ggpy.

In [6]: %config InlineBackend
InlineBackend options
-------------------
...
InlineBackend.rc=<Dict>
    Current: {'font.size': 10, 'figure.figsize': (6.0, 4.0), 'figure.facecolor': 'white', 'savefig.dpi': 72, 'figure.subplot.bottom': 0.125, 'figure.edgecolor': 'white'}
    Subset of matplotlib rcParams that should be different for the inline
    backend.

??

from ggpy.

When IPython embeds a figure inline, it uses bbox_inches='tight'. My guess is that the tight layout calculation is excluding the legend. How is the legend added to the figure?

from ggpy.

I opened matplotlib/matplotlib#2530 regarding the cutoff issue.

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cool thanks.

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FYI, a workaround for this is to call ggsave and save the plot to a file. Obviously this won't give it to you inline in ipynb, but it works if you don't mind viewing the plot outside ipynb.

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Wow, I did not realize that --pylab=inline automatically would work with ggplot in IPython Notebook. This is incredible! Can't wait to start using it in my notebooks.

👍

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A workaround could be to implement __repr__html() (or __repr__png()?). That could then use something else than the tight layout. Not sure if that clashes with the default showing of matplotlib plots in ipython, though...

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There are also some features in gridlayout, which can adjust the tight layout to include some space for such things as titles (and additional artists?). Worst case could be to add a new axis where the legend artist is added to.

http://matplotlib.org/users/tight_layout_guide.html#use-with-gridspec

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Not exactly a long-term solution but if end-users just want to make it work for them right now, commenting out "bbox_inches='tight'" in the IPython source (core/pylabtools.py line ~109 for me) seems to work fine.

Does it make sense to ask the IPython folk if they have a good rationale for keeping that parameter?

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We have a good reason for having it (better layout of matplotlib figures without unnecessary frame padding when the figures are inline), but the issues associated with tight layout might suggest that we should turn it off anyway, or at least allow it to be turned off.

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There seems to be a a workaround until it is fixed in matplotlib (see matplotlib/matplotlib#2530 (comment)) but that also means that only a more recent version of matplotlib will work.

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Fixed in matplotlib master matplotlib/matplotlib#2689.

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I'm pretty sure I'm still getting this issue:

• matplotlib (1.4.2)
• ggplot (0.6.5)
• ipython (2.3.0)

I get the legend when I have %matplotlib osx but not when I have %matplotlib inline.

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Disregard. I somehow have 2 versions of matplotlib on my system.

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@jml i have same issus on osx 10.9 with matplotlib (1.4.2) and ggplot (0.6.5), the legend doesn't appear. Is there any specific environment variable to setup?

Here is my plot:

plot = ggplot(df_hdiff, aes(x='Hour', y='value', color='variable')) \
    + geom_point() + geom_line() + xlab("Hour of the day") + ylab("Average Number of Riders")\
    + ggtitle("Entries and Exits vs Hour") + scale_color_manual(values=['blue', 'red'])

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Issue fixed with last version of ggplot from github.

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legend still not showing on osx using
ggplot==0.6.5
ipython==2.3.1
matplotlib==1.4.2
pandas==0.15.2
i'm using %matplotlib inline.
this is so annoying. I basically can't use ggplot for anything.

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@trebsirk is the problem persistent when you install the latest commit of ggplot pip install git+git://github.com/yhat/ggplot.git?

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I'm having the same issue with ggplot==0.6.6

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@overnin i used pip install ggplot --upgrade for the latest version, and it chopped off the legend. i have also tried with 0.5.9 with the same results. Is there a different version of matplotlib that could fix this?

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@trebsirk i don't exactly remember how to fix the issue. Install matpotlib from git may help.

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It only seems to be happening with faceting.

# Doesn't work
p = ggplot(aes(x='month_id', y='mins_per_video', color='platform_value'), data=df_final2) + \
    geom_line() + \
    ggtitle("%s Minutes Per Video by Platform & Operating System" % web_name) + \
    xlab("Month ID") + \
    ylab("Minutes Per Video") + \
    facet_wrap('device_value', scales='fixed') + \
    xlim(178,181)

p

# Works
p2 = ggplot(aes(x='month_id', y='mins_per_viewer', color='platform_value'), data=df_final2[(df_final2.device_value=="Smartphone")]) + \
    geom_line() + \
    ggtitle("%s Minutes Per Viewer by Platform & Operating System" % web_name) + \
    xlab("Month ID") + \
    ylab("Minutes Per Viewer") + \
    xlim(178,181)


p2

from ggpy.

This code straight from the ggplot examples does not show legends with ggplot 0.6.5:

    from ggplot import meat
    meat_lng = pd.melt(meat, id_vars=['date'])

    gplt = gg.ggplot(gg.aes(x='date', y='value', colour='variable'), data=meat_lng) + \
            gg.geom_line() + \
            gg.theme({'theme_position':'right'})

    gg.ggsave(plot=gplt, filename="gplt.png", width=12, height=3, dpi=100)

Environment: ggplot 0.6.5 installed via:

$ pip install ggplot

I was able to fix by pip installing straight from master:

$ pip uninstall ggplot
$ pip install git+git://github.com/yhat/ggplot.git

The legend now shows up.

My environment:

• Mac OS X Yosemite.
• Python 2.7.8
• Matplotlib 1.4.3
• ggplot 0.6.6

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I had same problem as @PaulMest. Same version numbers, except for using OSX Mavericks. I also had installed it using ggplot.

His suggestion of installing directly from the git master fixed it for me as well. Apparently there is a problem with the version pip pulls by default?

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Same as @relativistic , clone direct from github and it works

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I am experiencing the same issue.

My environment:

• CentOS release 6.6
• matplotlib: 1.5.1
• ggplot: 0.6.8
• jupyter-core: 4.1.0

My code:

p = ggplot(df_PN_melt, aes(x="M", y="value", colour="variable")) + \
    geom_point(size=40) + \
    geom_line(size=3) + \
    facet_wrap("Option", ncol=2) + \
    scale_color_manual(breaks=my_breaks )
print p

This does NOT produce a legend neither with ggsave nor with inline visualization in Jupyter.

I see the last comment here is one year old, so I suppose cloning directly from github was a workaround that should be outdated by now.

Any idea?

Thank you

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