MNE Reproducing plot_compare_evokeds error after CSD

gistfile1.py

import numpy as np
import matplotlib.pyplot as plt

import mne
from mne.datasets import sample

print(__doc__)

data_path = sample.data_path()

raw = mne.io.read_raw_fif(data_path + '/MEG/sample/sample_audvis_raw.fif', preload=True)
raw = raw.pick_types(meg=False, eeg=True, eog=True, ecg=True, stim=True,
                     exclude=raw.info['bads']).load_data()
events = mne.find_events(raw)
raw.set_eeg_reference(projection=True).apply_proj()

event_id = {'auditory/left': 1, 'auditory/right': 2, 'visual/left': 3,
            'visual/right': 4, 'smiley': 5, 'button': 32}
epochs = mne.Epochs(raw, events, event_id=event_id, tmin=-0.2, tmax=.5,
                    preload=True)
evoked = epochs['auditory'].average()

evoked_csd = mne.preprocessing.compute_current_source_density(evoked)

mne.viz.plot_compare_evokeds([evoked_csd], picks='csd', axes='topo')