本文整理汇总了Python中neurosynth.base.dataset.Dataset.list_features方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.list_features方法的具体用法？Python Dataset.list_features怎么用？Python Dataset.list_features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neurosynth.base.dataset.Dataset的用法示例。
在下文中一共展示了Dataset.list_features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: TestBase
# 需要导入模块: from neurosynth.base.dataset import Dataset [as 别名]
# 或者: from neurosynth.base.dataset.Dataset import list_features [as 别名]
class TestBase(unittest.TestCase):
def setUp(self):
""" Create a new Dataset and add features. """
self.dataset = Dataset('data/test_dataset.txt')
self.dataset.add_features('data/test_features.txt')
def test_dataset_initializes(self):
""" Test whether dataset initializes properly. """
self.assertIsNotNone(self.dataset.volume)
self.assertIsNotNone(self.dataset.image_table)
self.assertEqual(len(self.dataset.mappables), 5)
self.assertIsNotNone(self.dataset.volume)
self.assertIsNotNone(self.dataset.r)
def test_image_table_loads(self):
""" Test ImageTable initialization. """
self.assertIsNotNone(self.dataset.image_table)
it = self.dataset.image_table
self.assertEqual(len(it.ids), 5)
self.assertIsNotNone(it.volume)
self.assertIsNotNone(it.r)
self.assertEqual(it.data.shape, (228453, 5))
# Add tests for values in table
def test_feature_table_loads(self):
""" Test FeatureTable initialization. """
tt = self.dataset.feature_table
self.assertIsNotNone(tt)
self.assertEqual(len(self.dataset.list_features()), 5)
self.assertEqual(tt.data.shape, (5,5))
self.assertEqual(tt.feature_names[3], 'f4')
self.assertEqual(tt.data[0,0], 0.0003)
def test_feature_search(self):
""" Test feature-based Mappable search. Tests both the FeatureTable method
and the Dataset wrapper. """
tt = self.dataset.feature_table
features = tt.search_features(['f*'])
self.assertEqual(len(features), 4)
d = self.dataset
ids = d.get_ids_by_features(['f*'], threshold=0.001)
self.assertEqual(len(ids), 4)
img_data = d.get_ids_by_features(['f1', 'f3', 'g1'], 0.001, func='max', get_image_data=True)
self.assertEqual(img_data.shape, (228453, 5))
def test_selection_by_mask(self):
""" Test mask-based Mappable selection.
Only one peak in the test dataset (in study5) should be within the sgACC. """
ids = self.dataset.get_ids_by_mask('data/sgacc_mask.nii.gz')
self.assertEquals(len(ids), 1)
self.assertEquals('study5', ids[0])
def test_selection_by_peaks(self):
""" Test peak-based Mappable selection. """
ids = self.dataset.get_ids_by_peaks(np.array([[3, 30, -9]]))
self.assertEquals(len(ids), 1)
self.assertEquals('study5', ids[0])
# def test_invalid_coordinates_ignored(self):
""" Test dataset contains 3 valid coordinates and one outside mask. But this won't work