def test_dataframe_from_array2(self):
vals = [float(i) for i in range(0,5)]
key = Key("test",0)
kv = KeyValueStore()
d = Dataframe.from_array(key=key,kv=kv,size=5,array=vals,arr_type='F')
self.assertEqual([vals], d.data)
def producer(self):
SZ = 100*100
vals = [float(i) for i in range(0,SZ)]
sum_vals = float(sum(vals))
d = Dataframe.from_array(self.main, self.kv, SZ, vals, "F")
s = Dataframe.from_scalar(self.check,self.kv,sum_vals, "F")
def test_dataframe_from_array(self):
vals = [float(i) for i in range(0,500)]
key = Key("test",0)
kv = KeyValueStore()
d = Dataframe.from_array(key=key,kv=kv, size=500,array=vals,arr_type='F')
self.assertEqual(Schema(["F"],ncols=1,nrows=500), d.schema)