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# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric.d@gmail.com>
# Jaakko Leppakangas <jaeilepp@student.jyu.fi>
#
# License: Simplified BSD
import os.path as op
import numpy as np
import pytest
from mne import read_events, Epochs, pick_types, read_cov
from mne.channels import read_layout
from mne.io import read_raw_fif
from mne.utils import run_tests_if_main, requires_version
from mne.viz import plot_drop_log
from mne.viz.utils import _fake_click
# Set our plotters to test mode
import matplotlib
matplotlib.use('Agg') # for testing don't use X server
base_dir = op.join(op.dirname(__file__), '..', '..', 'io', 'tests', 'data')
evoked_fname = op.join(base_dir, 'test-ave.fif')
raw_fname = op.join(base_dir, 'test_raw.fif')
cov_fname = op.join(base_dir, 'test-cov.fif')
event_name = op.join(base_dir, 'test-eve.fif')
event_id, tmin, tmax = 1, -0.1, 1.0
n_chan = 20
layout = read_layout('Vectorview-all')
def _get_epochs():
"""Get epochs."""
raw = read_raw_fif(raw_fname)
events = read_events(event_name)
picks = pick_types(raw.info, meg=True, eeg=False, stim=False,
ecg=False, eog=False, exclude='bads')
# Use a subset of channels for plotting speed
picks = np.round(np.linspace(0, len(picks) + 1, n_chan)).astype(int)
with pytest.warns(RuntimeWarning, match='projection'):
epochs = Epochs(raw, events[:5], event_id, tmin, tmax, picks=picks,
proj=False)
epochs.info.normalize_proj() # avoid warnings
return epochs
def test_plot_epochs():
"""Test epoch plotting."""
import matplotlib.pyplot as plt
epochs = _get_epochs()
epochs.info['lowpass'] = 10. # allow heavy decim during plotting
epochs.plot(scalings=None, title='Epochs')
plt.close('all')
# covariance / whitening
cov = read_cov(cov_fname)
assert len(cov['names']) == 366 # all channels
assert cov['bads'] == []
assert epochs.info['bads'] == [] # all good
with pytest.warns(RuntimeWarning, match='projection'):
epochs.plot(noise_cov=cov)
plt.close('all')
# add a channel to the epochs.info['bads']
epochs.info['bads'] = [epochs.ch_names[0]]
with pytest.warns(RuntimeWarning, match='projection'):
epochs.plot(noise_cov=cov)
plt.close('all')
# add a channel to cov['bads']
cov['bads'] = [epochs.ch_names[1]]
with pytest.warns(RuntimeWarning, match='projection'):
epochs.plot(noise_cov=cov)
plt.close('all')
# have a data channels missing from the covariance
cov['names'] = cov['names'][:306]
cov['data'] = cov['data'][:306][:306]
with pytest.warns(RuntimeWarning, match='projection'):
epochs.plot(noise_cov=cov)
plt.close('all')
# other options
fig = epochs[0].plot(picks=[0, 2, 3], scalings=None)
fig.canvas.key_press_event('escape')
plt.close('all')
fig = epochs.plot()
fig.canvas.key_press_event('left')
fig.canvas.key_press_event('right')
fig.canvas.scroll_event(0.5, 0.5, -0.5) # scroll down
fig.canvas.scroll_event(0.5, 0.5, 0.5) # scroll up
fig.canvas.key_press_event('up')
fig.canvas.key_press_event('down')
fig.canvas.key_press_event('pageup')
fig.canvas.key_press_event('pagedown')
fig.canvas.key_press_event('-')
fig.canvas.key_press_event('+')
fig.canvas.key_press_event('=')
fig.canvas.key_press_event('b')
fig.canvas.key_press_event('f11')
fig.canvas.key_press_event('home')
fig.canvas.key_press_event('?')
fig.canvas.key_press_event('h')
fig.canvas.key_press_event('o')
fig.canvas.key_press_event('end')
fig.canvas.resize_event()
fig.canvas.close_event() # closing and epoch dropping
plt.close('all')
pytest.raises(RuntimeError, epochs.plot, picks=[])
plt.close('all')
fig = epochs.plot(events=epochs.events)
# test mouse clicks
x = fig.get_axes()[0].get_xlim()[1] / 2
y = fig.get_axes()[0].get_ylim()[0] / 2
data_ax = fig.get_axes()[0]
n_epochs = len(epochs)
_fake_click(fig, data_ax, [x, y], xform='data') # mark a bad epoch
_fake_click(fig, data_ax, [x, y], xform='data') # unmark a bad epoch
_fake_click(fig, data_ax, [0.5, 0.999]) # click elsewhere in 1st axes
_fake_click(fig, data_ax, [-0.1, 0.9]) # click on y-label
_fake_click(fig, data_ax, [-0.1, 0.9], button=3)
_fake_click(fig, fig.get_axes()[2], [0.5, 0.5]) # change epochs
_fake_click(fig, fig.get_axes()[3], [0.5, 0.5]) # change channels
fig.canvas.close_event() # closing and epoch dropping
assert(n_epochs - 1 == len(epochs))
plt.close('all')
epochs.plot_sensors() # Test plot_sensors
plt.close('all')
def test_plot_epochs_image():
"""Test plotting of epochs image."""
import matplotlib.pyplot as plt
epochs = _get_epochs()
epochs.plot_image(picks=[1, 2])
overlay_times = [0.1]
epochs.plot_image(picks=[1], order=[0], overlay_times=overlay_times,
vmin=0.01, title="test"
)
epochs.plot_image(picks=[1], overlay_times=overlay_times, vmin=-0.001,
vmax=0.001)
pytest.raises(ValueError, epochs.plot_image,
picks=[1], overlay_times=[0.1, 0.2])
pytest.raises(ValueError, epochs.plot_image,
picks=[1], order=[0, 1])
pytest.raises(ValueError, epochs.plot_image, axes=dict(), group_by=list(),
combine='mean')
pytest.raises(ValueError, epochs.plot_image, axes=list(), group_by=dict(),
combine='mean')
pytest.raises(ValueError, epochs.plot_image, group_by='error',
picks=[1, 2])
pytest.raises(ValueError, epochs.plot_image, units={"hi": 1},
scalings={"ho": 1})
epochs.load_data().pick_types(meg='mag')
epochs.info.normalize_proj()
epochs.plot_image(group_by='type', combine='mean')
epochs.plot_image(group_by={"1": [1, 2], "2": [1, 2]}, combine='mean')
epochs.plot_image(vmin=lambda x: x.min())
pytest.raises(ValueError, epochs.plot_image, axes=1, fig=2)
ts_args = dict(show_sensors=False)
with pytest.warns(RuntimeWarning, match='fall outside'):
epochs.plot_image(overlay_times=[1.1], combine="gfp", ts_args=ts_args)
pytest.raises(ValueError, epochs.plot_image, combine='error',
ts_args=ts_args)
with pytest.raises(NotImplementedError, match='currently'):
epochs.plot_image(ts_args=dict(invert_y=True))
plt.close('all')
def test_plot_drop_log():
"""Test plotting a drop log."""
import matplotlib.pyplot as plt
epochs = _get_epochs()
pytest.raises(ValueError, epochs.plot_drop_log)
epochs.drop_bad()
epochs.plot_drop_log()
plot_drop_log([['One'], [], []])
plot_drop_log([['One'], ['Two'], []])
plot_drop_log([['One'], ['One', 'Two'], []])
plt.close('all')
@requires_version('scipy', '0.12')
def test_plot_psd_epochs():
"""Test plotting epochs psd (+topomap)."""
import matplotlib.pyplot as plt
epochs = _get_epochs()
epochs.plot_psd()
pytest.raises(RuntimeError, epochs.plot_psd_topomap,
bands=[(0, 0.01, 'foo')]) # no freqs in range
epochs.plot_psd_topomap()
plt.close('all')
run_tests_if_main()
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