Can I use the IPython magic function %matplotlib qt with seaborn.objects?

Question

Typically if I want to make an interactive plot, I use %matplotlib qt, such that I can explore, zoom, add to the figure etc. I wanted to make an area plot, and with the release of seaborn objects, this is easy. Only, it always plots "inline" in my console (spyder), which I find really user-unfriendly as compared with the interactive plotting I normally do (with the normal seaborn plots which are built on matplotlib, there is no problem). Is there anyone who knows a solution for this?

fig, ax = plt.subplots(nrows = 1, ncols = 1, figsize=(15,8))
p = so.Plot(sumstat, "date", "std")
p.add(so.Area())

The code shown is not a complete minimal reproducible example. You should probably update spyder in Anaconda. The graphics backend is set in Preferences, IPython console, Graphics tab, and graphics backend - select Qt5. Additionally, the code never tells p to use ax. It needs .on(ax). In spyder this works to have an interactive plot appear, however, nothing is plotted into the figure. I think this needs to be addressed by @mwaskom, who is the package author. If seen Duplicate plots are output when using seaborn.objects with subplots in jupyter, but doesn't help. — Trenton McKinney
– Trenton McKinney, Commented Jun 12, 2023 at 17:27
How do I get interactive plots again in Spyder/IPython/matplotlib? — Trenton McKinney
– Trenton McKinney, Commented Jun 12, 2023 at 17:29
With an inline plot, nothing appears on the plot. With an interactive plot, the interactive figure appears, but nothing shows on the plot — Trenton McKinney
– Trenton McKinney, Commented Jun 12, 2023 at 17:41

mwaskom · Accepted Answer · 2023-08-30 02:29:07Z

0

To compile the Plot using the axes that you have created, you want Plot.on:

fig, ax = plt.subplots(nrows = 1, ncols = 1, figsize=(15,8))
(
    so.Plot(sumstat, "date", "std")
    .add(so.Area())
    .on(ax)
)

Or you can keep the entire specification within the objects interface but hook into pyplot for the display using Plot.show:

(
    so.Plot(sumstat, "date", "std")
    .add(so.Area())
    .layout(size=(15, 8))
    .show()
)

answered Aug 30, 2023 at 2:29

mwaskom

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