本文整理汇总了Python中mne.io.Raw.info["projs"]方法的典型用法代码示例。如果您正苦于以下问题：Python Raw.info["projs"]方法的具体用法？Python Raw.info["projs"]怎么用？Python Raw.info["projs"]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.info["projs"]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_set_eeg_reference
# 需要导入模块: from mne.io import Raw [as 别名]
# 或者: from mne.io.Raw import info["projs"] [as 别名]
def test_set_eeg_reference():
"""Test rereference eeg data"""
raw = Raw(fif_fname, preload=True)
raw.info["projs"] = []
# Test setting an average reference
assert_true(not _has_eeg_average_ref_proj(raw.info["projs"]))
reref, ref_data = set_eeg_reference(raw)
assert_true(_has_eeg_average_ref_proj(reref.info["projs"]))
assert_true(ref_data is None)
# Test setting an average reference when one was already present
reref, ref_data = set_eeg_reference(raw, copy=False)
assert_true(ref_data is None)
# Rereference raw data by creating a copy of original data
reref, ref_data = set_eeg_reference(raw, ["EEG 001", "EEG 002"], copy=True)
assert_true(reref.info["custom_ref_applied"])
_test_reference(raw, reref, ref_data, ["EEG 001", "EEG 002"])
# Test that data is modified in place when copy=False
reref, ref_data = set_eeg_reference(raw, ["EEG 001", "EEG 002"], copy=False)
assert_true(raw is reref)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 info["projs"] [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)
assert_equal(len(raw.info["projs"]), 2 * n_proj - 1)
raw.add_proj(projs, remove_existing=True)
assert_equal(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))
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] = 1.0
raw.save(out_fname)
raw = read_raw_fif(out_fname, proj=True, preload=False)
assert_allclose(raw[:, :][0][:1], raw[0, :][0])