def testSimple(self):
df = asDataFrame(self.data)
self.assertEqual(list(df.columns),
["colC", "colB", "colA"])
self.assertEqual(list(df.index),
["rowC", "rowB", "rowA"])
def testEmptyRow(self):
for row in self.data.keys():
dd = deepcopy(self.data)
dd[row] = odict()
df = asDataFrame(dd)
self.assertEqual(list(df.columns),
["colC", "colB", "colA"])
self.assertEqual(list(df.index),
["rowC", "rowB", "rowA"])
def testMissingValues(self):
for row, col in itertools.product(
("rowA", "rowB", "rowC"),
("colA", "colB", "colC")):
dd = deepcopy(self.data)
del dd[row][col]
df = asDataFrame(dd)
if row == "rowC" and col == "colB":
# first row misses column B, so column A is second
self.assertEqual(list(df.columns),
["colC", "colA", "colB"])
elif row == "rowC" and col == "colC":
# first row misses column C, so column B is second
self.assertEqual(list(df.columns),
["colB", "colA", "colC"])
else:
self.assertEqual(list(df.columns),
["colC", "colB", "colA"])
self.assertEqual(list(df.index),
["rowC", "rowB", "rowA"])