def test_arrow_all_null_text_column(self):
dataframe, columns = arrow_table_to_dataframe(
arrow_table(
{"A": pyarrow.array(["a", "b", None, "c"])},
columns=[atypes.Column("A", ColumnType.Text())],
))
assert_frame_equal(dataframe,
pd.DataFrame({"A": ["a", "b", np.nan, "c"]}))
self.assertEqual(columns, [Column("A", ColumnType.Text())])
def test_coerce_infer_columns_try_fallback_columns_ignore_wrong_type(self):
table = pd.DataFrame({"A": [1, 2], "B": ["x", "y"]})
result = ProcessResult.coerce(
table,
try_fallback_columns=[
Column("A", ColumnType.Text()),
Column("B", ColumnType.Number()),
],
)
self.assertEqual(
result.columns,
[Column("A", ColumnType.Number()), Column("B", ColumnType.Text())],
)
def test_coerce_infer_columns(self):
table = pd.DataFrame({"A": [1, 2], "B": ["x", "y"]})
result = ProcessResult.coerce(table)
self.assertEqual(
result.columns,
[Column("A", ColumnType.Number()), Column("B", ColumnType.Text())],
)
def test_dataframe_all_null_text_column(self):
assert_arrow_table_equals(
dataframe_to_arrow_table(
pd.DataFrame({"A": [None]}, dtype=str),
[Column("A", ColumnType.Text())],
self.path,
),
arrow_table({"A": pyarrow.array([None], pyarrow.string())}),
)
def test_columns(self):
df = pd.DataFrame({
"A": [1], # number
"B": ["foo"], # str
"C": dt(2018, 8, 20), # datetime64
})
df["D"] = pd.Series(["cat"], dtype="category")
result = ProcessResult(df)
self.assertEqual(result.column_names, ["A", "B", "C", "D"])
self.assertEqual(
result.columns,
[
Column("A", ColumnType.Number()),
Column("B", ColumnType.Text()),
Column("C", ColumnType.Timestamp()),
Column("D", ColumnType.Text()),
],
)
def test_coerce_infer_columns_with_format(self):
table = pd.DataFrame({"A": [1, 2], "B": ["x", "y"]})
result = ProcessResult.coerce(
{"dataframe": table, "column_formats": {"A": "{:,d}"}}
)
self.assertEqual(
result.columns,
[
Column("A", ColumnType.Number(format="{:,d}")),
Column("B", ColumnType.Text()),
],
)
def test_dataframe_all_null_category_column(self):
self._test_dataframe_to_arrow_table(
pd.DataFrame({"A": [None]}, dtype=str).astype("category"),
[Column("A", ColumnType.Text())],
pa.table(
{
"A": pa.DictionaryArray.from_arrays(
pa.array([None], pa.int8()),
pa.array([], pa.string()),
),
}
),
)
def test_dataframe_category_column(self):
self._test_dataframe_to_arrow_table(
pd.DataFrame({"A": ["A", "B", None, "A"]}, dtype="category"),
[Column("A", ColumnType.Text())],
pa.table(
{
"A": pa.DictionaryArray.from_arrays(
pa.array([0, 1, None, 0], pa.int8()),
pa.array(["A", "B"], pa.string()),
),
}
),
)
def test_arrow_category_column(self):
atable = arrow_table({
"A":
pyarrow.DictionaryArray.from_arrays(
pyarrow.array([0, 1, None, 0], type=pyarrow.int8()),
pyarrow.array(["A", "B"], type=pyarrow.string()),
)
})
dataframe, columns = arrow_table_to_dataframe(atable)
self.assertEqual(columns, [Column("A", ColumnType.Text())])
assert_frame_equal(
dataframe,
pd.DataFrame({"A": ["A", "B", None, "A"]}, dtype="category"))
def test_coerce_infer_columns_with_unit(self):
table = pd.DataFrame(
{"A": [pd.Period("2021-01-01", freq="D"), None], "B": ["x", "y"]}
)
result = ProcessResult.coerce(
{"dataframe": table, "column_formats": {"A": "year"}}
)
self.assertEqual(
result.columns,
[
Column("A", ColumnType.Date(unit="year")),
Column("B", ColumnType.Text()),
],
)
def test_ctor_infer_columns(self):
result = ProcessResult(
pd.DataFrame({
"A": [1, 2],
"B": ["x", "y"],
"C": [np.nan, dt(2019, 3, 3, 4, 5, 6, 7)],
}))
self.assertEqual(
result.columns,
[
Column("A", ColumnType.Number()),
Column("B", ColumnType.Text()),
Column("C", ColumnType.Timestamp()),
],
)
def test_arrow_all_null_category_column(self):
atable = arrow_table({
"A":
pyarrow.DictionaryArray.from_arrays(
pyarrow.array([None], type=pyarrow.int8()),
pyarrow.array([], type=pyarrow.string()),
)
})
dataframe, columns = arrow_table_to_dataframe(atable)
self.assertEqual(columns, [Column("A", ColumnType.Text())])
assert_frame_equal(
dataframe,
pd.DataFrame({
"A": [None]
}, dtype=str).astype("category"))
def test_dataframe_category_column(self):
assert_arrow_table_equals(
dataframe_to_arrow_table(
pd.DataFrame({"A": ["A", "B", None, "A"]}, dtype="category"),
[Column("A", ColumnType.Text())],
self.path,
),
arrow_table({
"A":
pyarrow.DictionaryArray.from_arrays(
pyarrow.array([0, 1, None, 0], type=pyarrow.int8()),
pyarrow.array(["A", "B"], type=pyarrow.string()),
)
}),
)
def test_dataframe_all_null_category_column(self):
assert_arrow_table_equals(
dataframe_to_arrow_table(
pd.DataFrame({
"A": [None]
}, dtype=str).astype("category"),
[Column("A", ColumnType.Text())],
self.path,
),
arrow_table({
"A":
pyarrow.DictionaryArray.from_arrays(
pyarrow.array([None], type=pyarrow.int8()),
pyarrow.array([], type=pyarrow.string()),
)
}),
)
def test_ctor_infer_columns(self):
result = ProcessResult(
pd.DataFrame(
{
"A": [1, 2],
"B": ["x", "y"],
"C": [np.nan, dt(2019, 3, 3, 4, 5, 6, 7)],
"D": [pd.Period("2021-01-01", freq="D"), pd.NaT],
}
)
)
self.assertEqual(
result.columns,
[
Column("A", ColumnType.Number()),
Column("B", ColumnType.Text()),
Column("C", ColumnType.Timestamp()),
Column("D", ColumnType.Date("day")),
],
)
def test_dataframe_all_null_text_column(self):
self._test_dataframe_to_arrow_table(
pd.DataFrame({"A": [None]}, dtype=str),
[Column("A", ColumnType.Text())],
expected_table=make_table(make_column("A", [None], pa.string())),
)