Embedding Seaborn plot in WxPython panel

Question

I would like to ask how I could embed a seaborn figure in wxPython panel.

Similarly to this post, I want to embed an external figure in a wxPython panel. I would like a specific panel of my wxPython GUI to plot the density contours of my data based on bandwidth values of a Gaussian kernel, according to Seaborn's kdeplot function, along with a scatter plot of the data points. Here is an example of what I would like to be plotted in the panel:

Until now, I have managed to get what I want in a separate figure out of the wxPython panel.Is it possible to embed a seaborn plot in a wxPython panel or should find an alternative way to implement what I want?

Below is the specific part of my code that generates the plot in case it is needed:

import seaborn as sns
import numpy as np

fig = self._view_frame.figure

data = np.loadtxt(r'data.csv',delimiter=',')
ax = fig.add_subplot(111)
ax.cla()
sns.kdeplot(data, bw=10, kernel='gau',  cmap="Reds")
ax.scatter(data[:,0],data[:,1], color='r')

fig.canvas.draw()

This part of the code plots in the wxPython panel the scattered data points and creates an external figure for the density contours. But, if I try ax.sns.kdeplot(...) I get the error

Attribute Error: AxesSubplot object has not attribute .sns

I don't know if I can embed a Seaborn figure in wxPython panel or I should try implement it in another way. Any suggestions?

Thanks in advance.

Answer 1

I don't know anything about wxPython but if you want to plot onto a specific axes use the ax keyword argument.

Answer 2

I never used Seaborn but I guess because the doc says "Seaborn is a Python visualization library based on matplotlib", you can probably use MPL class called FigureCanvasWxAgg.

Here's a sample code for embedding a MPL figure in wxPython.

import numpy as np
import wx

import matplotlib
matplotlib.use('WXAgg')
from matplotlib.figure import Figure
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg

import seaborn

class test(wx.Frame):

    def __init__(self):

        wx.Frame.__init__(self, None, title='Main frame')

        # just a normal MPL "Figure" object
        figure = Figure(None)
        # Place a widget to hold MPL figure. no sizer because this is the only widget
        fc = FigureCanvasWxAgg(self, -1, figure)

        # your plotting code here, this can be sns calls i think
        subplot = figure.add_subplot(111)
        subplot.plot(np.arange(10))

        # Lastly show them
        self.Show()


if __name__ == '__main__':

    app = wx.App(0)
    testframe = test()
    app.MainLoop()

You could probably just replace the plotting code with sns stuff and just make sure to plot on "Figure" object from MPL.

PS. Out of interest, I pip installed it and just importing seaborn already changed the style of MPL. So, it seems working. Because of matplotlib.use call, you will want to import seaborn after MPL imports.