Fix call to plot_tfr_topomap from interactive AverageTFR.plot_topo function

[mscheltienne]

As reported on the forum here.

To reproduce:

import numpy as np

import mne
from mne.datasets import sample
from mne.time_frequency import tfr_morlet

data_path = sample.data_path()
raw_fname = sample.data_path() / "MEG" / "sample" / "sample_audvis_raw.fif"

# Setup for reading the raw data
raw = mne.io.read_raw_fif(raw_fname, preload=False)
# crop and resample just to reduce computation time
raw.crop(120, 200).load_data().resample(200)
events = mne.find_events(raw, stim_channel="STI 014")

# picks MEG gradiometers
picks = mne.pick_types(raw.info, meg="grad", eeg=True, eog=True, stim=False)

# Construct Epochs
event_id, tmin, tmax = 1, -1.0, 3.0
epochs = mne.Epochs(
    raw,
    events,
    event_id,
    tmin,
    tmax,
    picks=picks,
    baseline=(None, 0),
    reject=dict(grad=4000e-13, eog=350e-6),
    preload=True,
)

freqs = np.logspace(*np.log10([6, 35]), num=8)
n_cycles = freqs / 2.0  # different number of cycle per frequency
power, itc = tfr_morlet(
    epochs,
    freqs=freqs,
    n_cycles=n_cycles,
    use_fft=True,
    return_itc=True,
    decim=3,
    n_jobs=None,
)

power.plot_topo(baseline=(-0.5, 0), mode="logratio", title="Average power")

And then click and select as on the initial post on the forum.

It's due to the deprecation in #11371.

[drammock]

tested locally with the MWE, seems to work fine. Thanks @mscheltienne for cleaning up things I missed 🙈