本文整理汇总了Python中mne.io.RawArray.info['bads']方法的典型用法代码示例。如果您正苦于以下问题：Python RawArray.info['bads']方法的具体用法？Python RawArray.info['bads']怎么用？Python RawArray.info['bads']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.io.RawArray的用法示例。
在下文中一共展示了RawArray.info['bads']方法的1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_mark_flat
# 需要导入模块: from mne.io import RawArray [as 别名]
# 或者: from mne.io.RawArray import info['bads'] [as 别名]
def test_mark_flat(first_samp):
"""Test marking flat segments."""
# Test if ECG analysis will work on data that is not preloaded
n_ch, n_times = 11, 1000
data = np.random.RandomState(0).randn(n_ch, n_times)
assert not (np.diff(data, axis=-1) == 0).any() # nothing flat at first
info = create_info(n_ch, 1000., 'eeg')
info['meas_date'] = (1, 2)
# test first_samp != for gh-6295
raw = RawArray(data, info, first_samp=first_samp)
raw.info['bads'] = [raw.ch_names[-1]]
#
# First make a channel flat the whole time
#
raw_0 = raw.copy()
raw_0._data[0] = 0.
for kwargs, bads, want_times in [
# Anything < 1 will mark spatially
(dict(bad_percent=100.), [], 0),
(dict(bad_percent=99.9), [raw.ch_names[0]], n_times),
(dict(), [raw.ch_names[0]], n_times)]: # default (1)
raw_time = mark_flat(raw_0.copy(), verbose='debug', **kwargs)
want_bads = raw.info['bads'] + bads
assert raw_time.info['bads'] == want_bads
n_good_times = raw_time.get_data(reject_by_annotation='omit').shape[1]
assert n_good_times == want_times
#
# Now make a channel flat for 20% of the time points
#
raw_0 = raw.copy()
n_good_times = int(round(0.8 * n_times))
raw_0._data[0, n_good_times:] = 0.
threshold = 100 * (n_times - n_good_times) / n_times
for kwargs, bads, want_times in [
# Should change behavior at bad_percent=20
(dict(bad_percent=100), [], n_good_times),
(dict(bad_percent=threshold), [], n_good_times),
(dict(bad_percent=threshold - 1e-5), [raw.ch_names[0]], n_times),
(dict(), [raw.ch_names[0]], n_times)]:
raw_time = mark_flat(raw_0.copy(), verbose='debug', **kwargs)
want_bads = raw.info['bads'] + bads
assert raw_time.info['bads'] == want_bads
n_good_times = raw_time.get_data(reject_by_annotation='omit').shape[1]
assert n_good_times == want_times
with pytest.raises(TypeError, match='must be an instance of BaseRaw'):
mark_flat(0.)
with pytest.raises(ValueError, match='not convert string to float'):
mark_flat(raw, 'x')