def _test_as_array_perf():
s = Schema()
arr = []
for i in range(100):
s.append(f"a{i}:int")
arr.append(i)
for i in range(100):
s.append(f"b{i}:int")
arr.append(float(i))
for i in range(100):
s.append(f"c{i}:str")
arr.append(str(i))
data = []
for i in range(5000):
data.append(list(arr))
df = IterableDataFrame(data, s)
res = df.as_array()
res = df.as_array(type_safe=True)
nts, ts = 0.0, 0.0
for i in range(10):
t = datetime.now()
res = df.as_array()
nts += (datetime.now() - t).total_seconds()
t = datetime.now()
res = df.as_array(type_safe=True)
ts += (datetime.now() - t).total_seconds()
print(nts, ts)
def test_nested():
data = [[dict(a=1, b=[3, 4], d=1.0)], [json.dumps(dict(b=[30, "40"]))]]
df = IterableDataFrame(data, "a:{a:str,b:[int]}")
a = df.as_array(type_safe=True)
assert [[dict(a="1", b=[3, 4])], [dict(a=None, b=[30, 40])]] == a
data = [[[json.dumps(dict(b=[30, "40"]))]]]
df = IterableDataFrame(data, "a:[{a:str,b:[int]}]")
a = df.as_array(type_safe=True)
assert [[[dict(a=None, b=[30, 40])]]] == a
def test_simple_methods():
df = IterableDataFrame([["a", 1], ["b", "2"]], "x:str,y:double")
raises(InvalidOperationError, lambda: df.count())
assert not df.empty
assert ["a", 1.0] == df.peek_array()
assert dict(x="a", y=1.0) == df.peek_dict()
assert [["a", 1], ["b", "2"]] == df.as_array()
df = IterableDataFrame([["a", 1], ["b", "2"]], "x:str,y:double")
pdf = df.as_pandas()
assert [["a", 1.0], ["b", 2.0]] == pdf.values.tolist()
df = IterableDataFrame([], "x:str,y:double")
pdf = df.as_pandas()
assert [] == pdf.values.tolist()
def test_init():
df = IterableDataFrame(schema="a:str,b:int")
assert df.empty
assert df.schema == "a:str,b:int"
assert not df.is_bounded
data = [["a", 1], ["b", 2]]
df = IterableDataFrame(data, "a:str,b:str")
assert [["a", "1"], ["b", "2"]] == df.as_array(type_safe=True)
assert df.empty # after iterating all items
df = IterableDataFrame(data, "a:str,b:int")
assert [["a", 1], ["b", 2]] == df.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
assert [["a", 1.0], ["b", 2.0]] == df.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
ddf = IterableDataFrame(df)
assert [["a", 1.0], ["b", 2.0]] == ddf.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
ddf = IterableDataFrame(df, "a:str,b:float64")
assert [["a", 1.0], ["b", 2.0]] == ddf.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
ddf = IterableDataFrame(df, "b:str,a:str")
assert [["1", "a"], ["2", "b"]] == ddf.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
ddf = IterableDataFrame(df, ["b"])
assert ddf.schema == "b:double"
assert [[1.0], [2.0]] == ddf.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
ddf = IterableDataFrame(df, ["a:str,b:str"])
assert [["a", "1"], ["b", "2"]] == ddf.as_array(type_safe=True)
df = IterableDataFrame(data, "a:str,b:double")
ddf = IterableDataFrame(df, ["b:str"])
assert [["1"], ["2"]] == ddf.as_array(type_safe=True)
pdf = PandasDataFrame(data, "a:str,b:double")
df = IterableDataFrame(pdf, "a:str,b:double")
assert [["a", 1.0], ["b", 2.0]] == df.as_array(type_safe=True)
df = IterableDataFrame(pdf, "b:str,a:str")
assert [["1.0", "a"], ["2.0", "b"]] == df.as_array(type_safe=True)
df = IterableDataFrame([], "x:str,y:double")
assert df.empty
assert df.is_local
raises(FugueDataFrameInitError, lambda: IterableDataFrame(123))
