本文整理汇总了Python中neurom.fst.fst_get函数的典型用法代码示例。如果您正苦于以下问题：Python fst_get函数的具体用法？Python fst_get怎么用？Python fst_get使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了fst_get函数的15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_segment_radii_pop
def test_segment_radii_pop():
feat = 'segment_radii'
nt.ok_(np.allclose(_stats(fst_get(feat, POP)),
(0.079999998211860657,
1.2150000333786011,
1301.9191725363567,
0.20222416473071708)))
nt.ok_(np.allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.all)),
(0.079999998211860657,
1.2150000333786011,
1301.9191725363567,
0.20222416473071708)))
nt.ok_(np.allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.apical_dendrite)),
(0.13142434507608414,
1.0343990325927734,
123.41135908663273,
0.58767313850777492)))
nt.ok_(np.allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.basal_dendrite)),
(0.079999998211860657,
1.2150000333786011,
547.43900821779164,
0.42078324997524336)))示例2: test_section_tortuosity_nrn
def test_section_tortuosity_nrn():
feat = 'section_tortuosity'
nt.ok_(np.allclose(_stats(fst_get(feat, NRN)),
(1.0702760052031612,
1.5732825321954911,
106.42449427885093,
1.2669582652244158)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.all)),
(1.0702760052031612,
1.5732825321954911,
106.42449427885093,
1.2669582652244158)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.apical_dendrite)),
(1.0702760052031612,
1.5732825321954911,
26.919574286670883,
1.2818844898414707)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.basal_dendrite)),
(1.0788578286296124,
1.5504287518256337,
51.540901640170489,
1.227164324765964)))示例3: assert_features_for_neurite
def assert_features_for_neurite(feat, neurons, expected, exact=True):
for neurite_type, expected_values in expected.items():
print('neurite_type: %s' % neurite_type)
if neurite_type is None:
res_pop = fst_get(feat, neurons)
res = fst_get(feat, neurons[0])
else:
res_pop = fst_get(feat, neurons, neurite_type=neurite_type)
res = fst_get(feat, neurons[0], neurite_type=neurite_type)
if exact:
assert_items_equal(res_pop, expected_values)
else:
assert_allclose(res_pop, expected_values)
#test for single neuron
if isinstance(res, np.ndarray):
# some features, ex: total_length return arrays w/ one element when
# called on a single neuron
nt.eq_(len(res), 1)
res = res[0]
if exact:
nt.eq_(res, expected_values[0])
else:
assert_allclose(res, expected_values[0])示例4: test_segment_radii_nrn
def test_segment_radii_nrn():
feat = 'segment_radii'
nt.ok_(np.allclose(_stats(fst_get(feat, NRN)),
(0.12087134271860123,
1.0343990325927734,
507.01994501426816,
0.60359517263603357)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.all)),
(0.12087134271860123,
1.0343990325927734,
507.01994501426816,
0.60359517263603357)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.apical_dendrite)),
(0.13142434507608414,
1.0343990325927734,
123.41135908663273,
0.58767313850777492)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.basal_dendrite)),
(0.14712842553853989,
1.0215770602226257,
256.71241207793355,
0.61122002875698467)))示例5: test_section_tortuosity_pop
def test_section_tortuosity_pop():
feat = 'section_tortuosity'
assert_allclose(_stats(fst_get(feat, POP)),
(1.0,
4.6571118550276704,
440.40884450374455,
1.3427098917797089))
assert_allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.all)),
(1.0,
4.6571118550276704,
440.40884450374455,
1.3427098917797089))
assert_allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.apical_dendrite)),
(1.0702760052031615,
1.5732825321954913,
26.919574286670883,
1.2818844898414707))
assert_allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.basal_dendrite)),
(1.042614577410971,
1.6742599832295344,
106.5960839640893,
1.239489348419643))示例6: test_segment_lengths
def test_segment_lengths():
ref_seglen = nf.segment_lengths(NEURON)
seglen = fst_get('segment_lengths', NEURON)
nt.eq_(len(seglen), 840)
assert_allclose(seglen, ref_seglen)
seglen = fst_get('segment_lengths', NEURON, neurite_type=NeuriteType.all)
nt.eq_(len(seglen), 840)
assert_allclose(seglen, ref_seglen)示例7: test_get_trunk_section_lengths
def test_get_trunk_section_lengths():
assert_allclose(fst_get('trunk_section_lengths', NEURON),
[9.579117366740002,
7.972322416776259,
8.2245287740603779,
9.212707985134525])
assert_allclose(fst_get('trunk_section_lengths', NEURON, neurite_type=NeuriteType.apical_dendrite),
[9.212707985134525])
assert_allclose(fst_get('trunk_section_lengths', NEURON, neurite_type=NeuriteType.basal_dendrite),
[7.972322416776259, 8.2245287740603779])
assert_allclose(fst_get('trunk_section_lengths', NEURON, neurite_type=NeuriteType.axon),
[9.579117366740002])示例8: test_trunk_origin_radii
def test_trunk_origin_radii():
assert_allclose(fst_get('trunk_origin_radii', NEURON),
[0.85351288499400002,
0.18391483031299999,
0.66943255462899998,
0.14656092843999999])
assert_allclose(fst_get('trunk_origin_radii', NEURON, neurite_type=NeuriteType.apical_dendrite),
[0.14656092843999999])
assert_allclose(fst_get('trunk_origin_radii', NEURON, neurite_type=NeuriteType.basal_dendrite),
[0.18391483031299999,
0.66943255462899998])
assert_allclose(fst_get('trunk_origin_radii', NEURON, neurite_type=NeuriteType.axon),
[0.85351288499400002])示例9: test_segment_meander_angles_pop
def test_segment_meander_angles_pop():
feat = 'segment_meander_angles'
nt.ok_(np.allclose(_stats(fst_get(feat, POP)),
(0.0, 3.1415926535897931, 14637.977670710961, 2.3957410263029395)))
nt.ok_(np.allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.all)),
(0.0, 3.1415926535897931, 14637.977670710961, 2.3957410263029395)))
nt.ok_(np.allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.apical_dendrite)),
(0.326101999292573, 3.0939261437163492, 461.98168732359414, 2.4443475519766884)))
nt.ok_(np.allclose(_stats(fst_get(feat, POP, neurite_type=NeuriteType.basal_dendrite)),
(0.0, 3.1415926535897931, 2926.2411975307768, 2.4084289691611334)))示例10: test_sholl_frequency
def test_sholl_frequency():
assert_allclose(fst_get('sholl_frequency', NEURON),
[4, 8, 8, 14, 9, 8, 7, 7])
assert_allclose(fst_get('sholl_frequency', NEURON, neurite_type=NeuriteType.all),
[4, 8, 8, 14, 9, 8, 7, 7])
assert_allclose(fst_get('sholl_frequency', NEURON, neurite_type=NeuriteType.apical_dendrite),
[1, 2, 2, 2, 2, 2, 1, 1])
assert_allclose(fst_get('sholl_frequency', NEURON, neurite_type=NeuriteType.basal_dendrite),
[2, 4, 4, 6, 5, 4, 4, 4])
assert_allclose(fst_get('sholl_frequency', NEURON, neurite_type=NeuriteType.axon),
[1, 2, 2, 6, 2, 2, 2, 2])示例11: test_segment_meander_angles_nrn
def test_segment_meander_angles_nrn():
feat = 'segment_meander_angles'
nt.ok_(np.allclose(_stats(fst_get(feat, NRN)),
(0.326101999292573, 3.129961675751181, 1842.351779156608, 2.4369732528526562)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.all)),
(0.326101999292573, 3.129961675751181, 1842.351779156608, 2.4369732528526562)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.apical_dendrite)),
(0.326101999292573, 3.0939261437163492, 461.98168732359414, 2.4443475519766884)))
nt.ok_(np.allclose(_stats(fst_get(feat, NRN, neurite_type=NeuriteType.basal_dendrite)),
(0.47318725279312024, 3.129961675751181, 926.33847274926438, 2.4506308802890593)))示例12: test_section_path_distances_endpoint
def test_section_path_distances_endpoint():
ref_sec_path_len_start = list(iter_neurites(NEURON, sec.start_point_path_length))
ref_sec_path_len = list(iter_neurites(NEURON, sec.end_point_path_length))
path_lengths = fst_get('section_path_distances', NEURON)
nt.ok_(ref_sec_path_len != ref_sec_path_len_start)
nt.eq_(len(path_lengths), 84)
nt.ok_(np.all(path_lengths == ref_sec_path_len))示例13: test_number_of_sections_nrn
def test_number_of_sections_nrn():
feat = 'number_of_sections'
nt.assert_items_equal(fst_get(feat, NRN), [84])
nt.assert_items_equal(fst_get(feat, NRN, neurite_type=NeuriteType.all),
[84])
nt.assert_items_equal(fst_get(feat, NRN, neurite_type=NeuriteType.axon),
[21])
nt.assert_items_equal(fst_get(feat, NRN, neurite_type=NeuriteType.apical_dendrite),
[21])
nt.assert_items_equal(fst_get(feat, NRN, neurite_type=NeuriteType.basal_dendrite),
[42])示例14: test_number_of_forking_points_pop
def test_number_of_forking_points_pop():
feat = 'number_of_forking_points'
nt.assert_items_equal(fst_get(feat, POP), [40, 20, 98])
nt.assert_items_equal(fst_get(feat, POP, neurite_type=NeuriteType.all),
[40, 20, 98])
nt.assert_items_equal(fst_get(feat, POP, neurite_type=NeuriteType.axon),
[10, 10, 88])
nt.assert_items_equal(fst_get(feat, POP, neurite_type=NeuriteType.apical_dendrite),
[10, 0, 0])
nt.assert_items_equal(fst_get(feat, POP, neurite_type=NeuriteType.basal_dendrite),
[20, 10, 10])示例15: test_remote_bifurcation_angles
def test_remote_bifurcation_angles():
ref_remote_bifangles = list(nf.remote_bifurcation_angles(NEURON))
remote_bifangles = fst_get('remote_bifurcation_angles', NEURON)
nt.eq_(len(remote_bifangles), 40)
assert_allclose(remote_bifangles, ref_remote_bifangles)
remote_bifangles = fst_get('remote_bifurcation_angles', NEURON, neurite_type=NeuriteType.all)
nt.eq_(len(remote_bifangles), 40)
assert_allclose(remote_bifangles, ref_remote_bifangles)
s = fst_get('remote_bifurcation_angles', NEURON, neurite_type=NeuriteType.axon)
nt.eq_(len(s), 10)
s = fst_get('remote_bifurcation_angles', NEURON, neurite_type=NeuriteType.basal_dendrite)
nt.eq_(len(s), 20)
s = fst_get('remote_bifurcation_angles', NEURON, neurite_type=NeuriteType.apical_dendrite)
nt.eq_(len(s), 10)