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Python Label.values[:]方法代码示例

本文整理汇总了Python中mne.label.Label.values[:]方法的典型用法代码示例。如果您正苦于以下问题:Python Label.values[:]方法的具体用法?Python Label.values[:]怎么用?Python Label.values[:]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mne.label.Label的用法示例。


在下文中一共展示了Label.values[:]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_label_center_of_mass

# 需要导入模块: from mne.label import Label [as 别名]
# 或者: from mne.label.Label import values[:] [as 别名]
def test_label_center_of_mass():
    """Test computing the center of mass of a label."""
    stc = read_source_estimate(stc_fname)
    stc.lh_data[:] = 0
    vertex_stc = stc.center_of_mass('sample', subjects_dir=subjects_dir)[0]
    assert_equal(vertex_stc, 124791)
    label = Label(stc.vertices[1], pos=None, values=stc.rh_data.mean(axis=1),
                  hemi='rh', subject='sample')
    vertex_label = label.center_of_mass(subjects_dir=subjects_dir)
    assert_equal(vertex_label, vertex_stc)

    labels = read_labels_from_annot('sample', parc='aparc.a2009s',
                                    subjects_dir=subjects_dir)
    src = read_source_spaces(src_fname)
    # Try a couple of random ones, one from left and one from right
    # Visually verified in about the right place using mne_analyze
    for label, expected in zip([labels[2], labels[3], labels[-5]],
                               [141162, 145221, 55979]):
        label.values[:] = -1
        pytest.raises(ValueError, label.center_of_mass,
                      subjects_dir=subjects_dir)
        label.values[:] = 0
        pytest.raises(ValueError, label.center_of_mass,
                      subjects_dir=subjects_dir)
        label.values[:] = 1
        assert_equal(label.center_of_mass(subjects_dir=subjects_dir), expected)
        assert_equal(label.center_of_mass(subjects_dir=subjects_dir,
                                          restrict_vertices=label.vertices),
                     expected)
        # restrict to source space
        idx = 0 if label.hemi == 'lh' else 1
        # this simple nearest version is not equivalent, but is probably
        # close enough for many labels (including the test ones):
        pos = label.pos[np.where(label.vertices == expected)[0][0]]
        pos = (src[idx]['rr'][src[idx]['vertno']] - pos)
        pos = np.argmin(np.sum(pos * pos, axis=1))
        src_expected = src[idx]['vertno'][pos]
        # see if we actually get the same one
        src_restrict = np.intersect1d(label.vertices, src[idx]['vertno'])
        assert_equal(label.center_of_mass(subjects_dir=subjects_dir,
                                          restrict_vertices=src_restrict),
                     src_expected)
        assert_equal(label.center_of_mass(subjects_dir=subjects_dir,
                                          restrict_vertices=src),
                     src_expected)
    # degenerate cases
    pytest.raises(ValueError, label.center_of_mass, subjects_dir=subjects_dir,
                  restrict_vertices='foo')
    pytest.raises(TypeError, label.center_of_mass, subjects_dir=subjects_dir,
                  surf=1)
    pytest.raises(IOError, label.center_of_mass, subjects_dir=subjects_dir,
                  surf='foo')
开发者ID:kambysese,项目名称:mne-python,代码行数:54,代码来源:test_label.py


注:本文中的mne.label.Label.values[:]方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。