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/data/var (#295)

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* Upgrade version of scanpy

* /data/var

This works for everything except the case where there is only one gene. Anndata flattens X when there is only one var thus causing the transpose to fail.

* Fix edge case when an axis (obs/var) only contains 1 element
This commit is contained in:
Charlotte Weaver
2018-10-03 15:09:46 -07:00
committed by GitHub
parent 467ae94faf
commit 187bbfdcf7
5 changed files with 221 additions and 69 deletions
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server/test/test_scanpy_engine.py
+36 -6
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@@ -206,9 +206,12 @@ class UtilTest(unittest.TestCase):
self.assertEqual(len(result), 20)
def test_data_frame(self):
data_frame = self.data.data_frame(self.data.data)
self.assertEqual(len(data_frame["var"]), 1838)
self.assertEqual(len(data_frame["obs"]), 2638)
data_frame_obs = self.data.data_frame(self.data.data, "obs")
self.assertEqual(len(data_frame_obs["var"]), 1838)
self.assertEqual(len(data_frame_obs["obs"]), 2638)
data_frame_var = self.data.data_frame(self.data.data, "var")
self.assertEqual(len(data_frame_var["var"]), 1838)
self.assertEqual(len(data_frame_var["obs"]), 2638)
def test_filtered_data_frame(self):
filter_ = {
@@ -221,9 +224,36 @@ class UtilTest(unittest.TestCase):
}
}
data = self.data.filter_dataframe(filter_["filter"])
data_frame = self.data.data_frame(data)
self.assertEqual(len(data_frame["var"]), 1838)
self.assertEqual(len(data_frame["obs"]), 497)
data_frame_obs = self.data.data_frame(data, "obs")
self.assertEqual(len(data_frame_obs["var"]), 1838)
self.assertEqual(len(data_frame_obs["obs"]), 497)
self.assertEqual(type(data_frame_obs["obs"][0]), list)
self.assertEqual(type(data_frame_obs["var"][0]), int)
data_frame_var = self.data.data_frame(data, "var")
self.assertEqual(len(data_frame_var["var"]), 1838)
self.assertEqual(len(data_frame_var["obs"]), 497)
self.assertEqual(type(data_frame_var["var"][0]), list)
self.assertEqual(type(data_frame_var["obs"][0]), int)
def test_data_single_gene(self):
for axis in ["obs", "var"]:
filter_ = {
"filter": {
"var": {
"annotation_value": [
{"name": "name", "values": ["RER1"]},
]
}
}
}
data = self.data.filter_dataframe(filter_["filter"], include_uns=False)
data_frame_var = self.data.data_frame(data, axis)
if axis == "obs":
self.assertEqual(type(data_frame_var["var"][0]), int)
self.assertEqual(type(data_frame_var["obs"][0]), list)
elif axis == "var":
self.assertEqual(type(data_frame_var["obs"][0]), int)
self.assertEqual(type(data_frame_var["var"][0]), list)
if __name__ == '__main__':
unittest.main()