本文整理汇总了Python中mne.io.Raw.del_proj方法的典型用法代码示例。如果您正苦于以下问题：Python Raw.del_proj方法的具体用法？Python Raw.del_proj怎么用？Python Raw.del_proj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.del_proj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_proj
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import del_proj [as 别名]
def test_proj():
"""Test SSP proj operations
"""
tempdir = _TempDir()
for proj in [True, False]:
raw = Raw(fif_fname, preload=False, proj=proj)
assert_true(all(p['active'] == proj for p in raw.info['projs']))
data, times = raw[0:2, :]
data1, times1 = raw[0:2]
assert_array_equal(data, data1)
assert_array_equal(times, times1)
# test adding / deleting proj
if proj:
assert_raises(ValueError, raw.add_proj, [],
{'remove_existing': True})
assert_raises(ValueError, raw.del_proj, 0)
else:
projs = deepcopy(raw.info['projs'])
n_proj = len(raw.info['projs'])
raw.del_proj(0)
assert_true(len(raw.info['projs']) == n_proj - 1)
raw.add_proj(projs, remove_existing=False)
assert_true(len(raw.info['projs']) == 2 * n_proj - 1)
raw.add_proj(projs, remove_existing=True)
assert_true(len(raw.info['projs']) == n_proj)
# test apply_proj() with and without preload
for preload in [True, False]:
raw = Raw(fif_fname, preload=preload, proj=False)
data, times = raw[:, 0:2]
raw.apply_proj()
data_proj_1 = np.dot(raw._projector, data)
# load the file again without proj
raw = Raw(fif_fname, preload=preload, proj=False)
# write the file with proj. activated, make sure proj has been applied
raw.save(op.join(tempdir, 'raw.fif'), proj=True, overwrite=True)
raw2 = Raw(op.join(tempdir, 'raw.fif'), proj=False)
data_proj_2, _ = raw2[:, 0:2]
assert_allclose(data_proj_1, data_proj_2)
assert_true(all(p['active'] for p in raw2.info['projs']))
# read orig file with proj. active
raw2 = Raw(fif_fname, preload=preload, proj=True)
data_proj_2, _ = raw2[:, 0:2]
assert_allclose(data_proj_1, data_proj_2)
assert_true(all(p['active'] for p in raw2.info['projs']))
# test that apply_proj works
raw.apply_proj()
data_proj_2, _ = raw[:, 0:2]
assert_allclose(data_proj_1, data_proj_2)
assert_allclose(data_proj_2, np.dot(raw._projector, data_proj_2))示例2: test_proj
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import del_proj [as 别名]
def test_proj():
"""Test SSP proj operations
"""
tempdir = _TempDir()
for proj in [True, False]:
raw = Raw(fif_fname, preload=False, proj=proj)
assert_true(all(p['active'] == proj for p in raw.info['projs']))
data, times = raw[0:2, :]
data1, times1 = raw[0:2]
assert_array_equal(data, data1)
assert_array_equal(times, times1)
# test adding / deleting proj
if proj:
assert_raises(ValueError, raw.add_proj, [],
{'remove_existing': True})
assert_raises(ValueError, raw.del_proj, 0)
else:
projs = deepcopy(raw.info['projs'])
n_proj = len(raw.info['projs'])
raw.del_proj(0)
assert_equal(len(raw.info['projs']), n_proj - 1)
raw.add_proj(projs, remove_existing=False)
# Test that already existing projections are not added.
assert_equal(len(raw.info['projs']), n_proj)
raw.add_proj(projs[:-1], remove_existing=True)
assert_equal(len(raw.info['projs']), n_proj - 1)
# test apply_proj() with and without preload
for preload in [True, False]:
raw = Raw(fif_fname, preload=preload, proj=False)
data, times = raw[:, 0:2]
raw.apply_proj()
data_proj_1 = np.dot(raw._projector, data)
# load the file again without proj
raw = Raw(fif_fname, preload=preload, proj=False)
# write the file with proj. activated, make sure proj has been applied
raw.save(op.join(tempdir, 'raw.fif'), proj=True, overwrite=True)
raw2 = Raw(op.join(tempdir, 'raw.fif'), proj=False)
data_proj_2, _ = raw2[:, 0:2]
assert_allclose(data_proj_1, data_proj_2)
assert_true(all(p['active'] for p in raw2.info['projs']))
# read orig file with proj. active
raw2 = Raw(fif_fname, preload=preload, proj=True)
data_proj_2, _ = raw2[:, 0:2]
assert_allclose(data_proj_1, data_proj_2)
assert_true(all(p['active'] for p in raw2.info['projs']))
# test that apply_proj works
raw.apply_proj()
data_proj_2, _ = raw[:, 0:2]
assert_allclose(data_proj_1, data_proj_2)
assert_allclose(data_proj_2, np.dot(raw._projector, data_proj_2))
tempdir = _TempDir()
out_fname = op.join(tempdir, 'test_raw.fif')
raw = read_raw_fif(test_fif_fname, preload=True).crop(0, 0.002, copy=False)
raw.pick_types(meg=False, eeg=True)
raw.info['projs'] = [raw.info['projs'][-1]]
raw._data.fill(0)
raw._data[-1] = 1.
raw.save(out_fname)
raw = read_raw_fif(out_fname, proj=True, preload=False)
assert_allclose(raw[:, :][0][:1], raw[0, :][0])示例3: int
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import del_proj [as 别名]
from my_settings import *
tmin, tmax = -0.5, 1.5 # Epoch time
subject = "0005" #sys.argv[1]
# All the behavioral results
results = pd.read_csv(log_folder + "results_all.csv")
# select only the relevant subject
log_tmp = results[results.subject == int(subject)].reset_index()
include = []
raw = Raw(save_folder + "%s_filtered_ica_mc_raw_tsss.fif" % subject,
preload=False)
raw.del_proj(0)
# Select events to extract epochs from.
event_id = {"all_trials": 99}
# Setup for reading the raw data
events = mne.find_events(raw, min_duration=0.015)
events = mne.event.merge_events(events, [1, 2, 4, 8], 99, replace_events=True)
event_id = {}
epoch_ids = []
for i, row in log_tmp.iterrows():
if row.condition_type == "ctl":
epoch_name = "ctl"
epoch_id = "1"