本文整理汇总了Python中mne.Epochs.info['dev_head_t']方法的典型用法代码示例。如果您正苦于以下问题：Python Epochs.info['dev_head_t']方法的具体用法？Python Epochs.info['dev_head_t']怎么用？Python Epochs.info['dev_head_t']使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类mne.Epochs的用法示例。
在下文中一共展示了Epochs.info['dev_head_t']方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_cov_mismatch
# 需要导入模块: from mne import Epochs [as 别名]
# 或者: from mne.Epochs import info['dev_head_t'] [as 别名]
def test_cov_mismatch():
"""Test estimation with MEG<->Head mismatch."""
raw = read_raw_fif(raw_fname).crop(0, 5).load_data()
events = find_events(raw, stim_channel='STI 014')
raw.pick_channels(raw.ch_names[:5])
raw.add_proj([], remove_existing=True)
epochs = Epochs(raw, events, None, tmin=-0.2, tmax=0., preload=True)
for kind in ('shift', 'None'):
epochs_2 = epochs.copy()
# This should be fine
with warnings.catch_warnings(record=True) as w:
compute_covariance([epochs, epochs_2])
assert_equal(len(w), 0)
if kind == 'shift':
epochs_2.info['dev_head_t']['trans'][:3, 3] += 0.001
else: # None
epochs_2.info['dev_head_t'] = None
assert_raises(ValueError, compute_covariance, [epochs, epochs_2])
assert_equal(len(w), 0)
compute_covariance([epochs, epochs_2], on_mismatch='ignore')
assert_equal(len(w), 0)
compute_covariance([epochs, epochs_2], on_mismatch='warn')
assert_raises(ValueError, compute_covariance, epochs,
on_mismatch='x')
assert_true(any('transform mismatch' in str(ww.message) for ww in w))
# This should work
epochs.info['dev_head_t'] = None
epochs_2.info['dev_head_t'] = None
compute_covariance([epochs, epochs_2], method=None)示例2: test_cov_mismatch
# 需要导入模块: from mne import Epochs [as 别名]
# 或者: from mne.Epochs import info['dev_head_t'] [as 别名]
def test_cov_mismatch():
"""Test estimation with MEG<->Head mismatch."""
raw = read_raw_fif(raw_fname).crop(0, 5).load_data()
events = find_events(raw, stim_channel='STI 014')
raw.pick_channels(raw.ch_names[:5])
raw.add_proj([], remove_existing=True)
epochs = Epochs(raw, events, None, tmin=-0.2, tmax=0., preload=True)
for kind in ('shift', 'None'):
epochs_2 = epochs.copy()
# This should be fine
compute_covariance([epochs, epochs_2])
if kind == 'shift':
epochs_2.info['dev_head_t']['trans'][:3, 3] += 0.001
else: # None
epochs_2.info['dev_head_t'] = None
pytest.raises(ValueError, compute_covariance, [epochs, epochs_2])
compute_covariance([epochs, epochs_2], on_mismatch='ignore')
with pytest.raises(RuntimeWarning, match='transform mismatch'):
compute_covariance([epochs, epochs_2], on_mismatch='warn')
pytest.raises(ValueError, compute_covariance, epochs,
on_mismatch='x')
# This should work
epochs.info['dev_head_t'] = None
epochs_2.info['dev_head_t'] = None
compute_covariance([epochs, epochs_2], method=None)