本文整理汇总了Python中mne.io.Raw.anonymize方法的典型用法代码示例。如果您正苦于以下问题：Python Raw.anonymize方法的具体用法？Python Raw.anonymize怎么用？Python Raw.anonymize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.Raw的用法示例。
在下文中一共展示了Raw.anonymize方法的3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_subject_info
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import anonymize [as 别名]
def test_subject_info():
"""Test reading subject information
"""
tempdir = _TempDir()
raw = Raw(fif_fname)
raw.crop(0, 1, False)
assert_true(raw.info['subject_info'] is None)
# fake some subject data
keys = ['id', 'his_id', 'last_name', 'first_name', 'birthday', 'sex',
'hand']
vals = [1, 'foobar', 'bar', 'foo', (1901, 2, 3), 0, 1]
subject_info = dict()
for key, val in zip(keys, vals):
subject_info[key] = val
raw.info['subject_info'] = subject_info
out_fname = op.join(tempdir, 'test_subj_info_raw.fif')
raw.save(out_fname, overwrite=True)
raw_read = Raw(out_fname)
for key in keys:
assert_equal(subject_info[key], raw_read.info['subject_info'][key])
raw_read.anonymize()
assert_true(raw_read.info.get('subject_info') is None)
out_fname_anon = op.join(tempdir, 'test_subj_info_anon_raw.fif')
raw_read.save(out_fname_anon, overwrite=True)
raw_read = Raw(out_fname_anon)
assert_true(raw_read.info.get('subject_info') is None)示例2: test_subject_info
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import anonymize [as 别名]
def test_subject_info():
"""Test reading subject information
"""
tempdir = _TempDir()
raw = Raw(fif_fname).crop(0, 1, False)
assert_true(raw.info['subject_info'] is None)
# fake some subject data
keys = ['id', 'his_id', 'last_name', 'first_name', 'birthday', 'sex',
'hand']
vals = [1, 'foobar', 'bar', 'foo', (1901, 2, 3), 0, 1]
subject_info = dict()
for key, val in zip(keys, vals):
subject_info[key] = val
raw.info['subject_info'] = subject_info
out_fname = op.join(tempdir, 'test_subj_info_raw.fif')
raw.save(out_fname, overwrite=True)
raw_read = Raw(out_fname)
for key in keys:
assert_equal(subject_info[key], raw_read.info['subject_info'][key])
assert_equal(raw.info['meas_date'], raw_read.info['meas_date'])
raw.anonymize()
raw.save(out_fname, overwrite=True)
raw_read = Raw(out_fname)
for this_raw in (raw, raw_read):
assert_true(this_raw.info.get('subject_info') is None)
assert_equal(this_raw.info['meas_date'], [0, 0])
assert_equal(raw.info['file_id']['secs'], 0)
assert_equal(raw.info['meas_id']['secs'], 0)
# When we write out with raw.save, these get overwritten with the
# new save time
assert_true(raw_read.info['file_id']['secs'] > 0)
assert_true(raw_read.info['meas_id']['secs'] > 0)示例3: test_subject_info
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import anonymize [as 别名]
def test_subject_info():
"""Test reading subject information
"""
tempdir = _TempDir()
raw = Raw(fif_fname).crop(0, 1, False)
assert_true(raw.info["subject_info"] is None)
# fake some subject data
keys = ["id", "his_id", "last_name", "first_name", "birthday", "sex", "hand"]
vals = [1, "foobar", "bar", "foo", (1901, 2, 3), 0, 1]
subject_info = dict()
for key, val in zip(keys, vals):
subject_info[key] = val
raw.info["subject_info"] = subject_info
out_fname = op.join(tempdir, "test_subj_info_raw.fif")
raw.save(out_fname, overwrite=True)
raw_read = Raw(out_fname)
for key in keys:
assert_equal(subject_info[key], raw_read.info["subject_info"][key])
raw_read.anonymize()
assert_true(raw_read.info.get("subject_info") is None)
out_fname_anon = op.join(tempdir, "test_subj_info_anon_raw.fif")
raw_read.save(out_fname_anon, overwrite=True)
raw_read = Raw(out_fname_anon)
assert_true(raw_read.info.get("subject_info") is None)