interactive_plot_bug.py

import os.path as op
import numpy as np
import matplotlib.pyplot as plt

import mne

data_path = mne.datasets.sample.data_path()
fname = op.join(data_path, 'MEG', 'sample', 'sample_audvis-ave.fif')
evoked = mne.read_evokeds(fname, baseline=(None, 0), proj=True)

# only left aud
evoked = evoked[0]

lt_chans = [k['ch_name'] for k in evoked.info['chs']
            if k['loc'][0] <= 0 ]

evoked.info['bads'] = []
evoked.plot(exclude=[], show=False)
evoked.info['bads'] += lt_chans
evoked.plot(exclude=[],show=False)
plt.show()