def test_numpy_non_contiguious():
recdtype = np.dtype([("index", np.int64), ("a", np.int32)])
rec = np.recarray(10, dtype=recdtype)
rec.index = np.arange(30, 40)
rec.a = aa = np.arange(20, dtype=np.int32)[::2]
assert rec.a.flags["C_CONTIGUOUS"] is False
gdf = DataFrame.from_records(rec, index="index")
assert_eq(aa, gdf["a"].values)
def test_from_records_noindex(columns):
recdtype = np.dtype([("a", np.int32), ("b", np.float64)])
rec = np.recarray(10, dtype=recdtype)
rec.a = aa = np.arange(10, dtype=np.int32)
rec.b = bb = np.arange(10, 20, dtype=np.float64)
df = DataFrame.from_records(rec, columns=columns)
if columns and "a" in columns:
assert_eq(aa, df["a"].values)
if columns and "b" in columns:
assert_eq(bb, df["b"].values)
assert_eq(np.arange(10), df.index.values)
def test_from_records_withindex(columns):
recdtype = np.dtype(
[("index", np.int64), ("a", np.int32), ("b", np.float64)]
)
rec = np.recarray(10, dtype=recdtype)
rec.index = ii = np.arange(30, 40)
rec.a = aa = np.arange(10, dtype=np.int32)
rec.b = bb = np.arange(10, 20, dtype=np.float64)
df = DataFrame.from_records(rec, index="index")
if columns and "a" in columns:
np.testing.assert_array_equal(aa, df["a"])
if columns and "b" in columns:
np.testing.assert_array_equal(bb, df["b"])
np.testing.assert_array_equal(ii, df.index.values)
