def test_allow_different_columns(self):
result = render(
pd.DataFrame({"A": [1, 2]}),
params={
"tabs": [
TabOutput(
"tab-2",
"Tab 2",
{"B": RenderColumn("B", "number", "{}")},
pd.DataFrame({"B": [3, 4]}),
)
],
"add_source_column":
False,
"source_column_name":
"",
},
tab_name="Tab 1",
input_columns={"A": RenderColumn("A", "number", "{}")},
)
# This tests the ordering of columns, too
assert_frame_equal(
result,
pd.DataFrame({
"A": [1, 2, np.nan, np.nan],
"B": [np.nan, np.nan, 3, 4]
}),
)
def test_error_different_types(self):
result = render(
pd.DataFrame({"A": ["x", "y"]}),
params={
"tabs": [
TabOutput(
"tab-2",
"Tab 2",
{"A": RenderColumn("A", "number", "{}")},
pd.DataFrame({"A": [3, 4]}),
)
],
"add_source_column":
False,
"source_column_name":
"",
},
tab_name="Tab 1",
input_columns={"A": RenderColumn("A", "text", None)},
)
self.assertEqual(
result,
('Cannot concatenate column "A" of type "number" in "Tab 2" to '
'column "A" of type "text" in "Tab 1". Please convert one or the '
"other so they are the same type."),
)
def test_add_source_column(self):
result = render(
pd.DataFrame({"A": [1, 2]}),
params={
"tabs": [
TabOutput(
"tab-2",
"Tab 2",
{"A": RenderColumn("A", "number", "{}")},
pd.DataFrame({"A": [3, 4]}),
)
],
"add_source_column":
True,
"source_column_name":
"S",
},
tab_name="Tab 1",
input_columns={"A": RenderColumn("A", "number", "{}")},
)
expected = pd.DataFrame({
# Source column comes _first_
"S": ["Tab 1", "Tab 1", "Tab 2", "Tab 2"],
"A": [1, 2, 3, 4],
})
# Source column should be categorical: no need to load it with useless
# copied bytes.
expected["S"] = expected["S"].astype("category")
assert_frame_equal(result, expected)
def test_prevent_overwrite(self):
left = pd.DataFrame({"A": [1, 2, 3], "B": ["x", "y", "z"]})
right = pd.DataFrame({"A": ["1", "2"], "B": ["X", "Y"]})
result = render(
left,
{
"right_tab": TabOutput(
"slug",
"Tab 2",
{
"A": RenderColumn("A", "number", "{}"),
"B": RenderColumn("B", "text", None),
},
right,
),
"join_columns": {"on": ["A"], "right": ["B"]},
"type": "left",
},
input_columns={
"A": RenderColumn("A", "number", "{}"),
"B": RenderColumn("B", "text", None),
},
)
self.assertEqual(
result,
(
'You tried to add "B" from Tab 2, but your table already has that '
"column. Please rename the column in one of the tabs, or unselect "
"the column."
),
)
def test_on_types_differ(self):
left = pd.DataFrame({"A": [1, 2, 3], "B": ["x", "y", "z"]})
right = pd.DataFrame({"A": ["1", "2"], "C": ["X", "Y"]})
result = render(
left,
{
"right_tab": TabOutput(
"slug",
"Tab 2",
{
"A": RenderColumn("A", "text", None),
"C": RenderColumn("C", "text", None),
},
right,
),
"join_columns": {"on": ["A"], "right": ["C"]},
"type": "left",
},
input_columns={
"A": RenderColumn("A", "number", "{}"),
"B": RenderColumn("B", "text", None),
},
)
self.assertEqual(
result,
(
'Column "A" is *number* in this tab and *text* in Tab 2. '
"Please convert one or the other so they are both the same type."
),
)
def test_import_columns_without_formats(self):
dataframe = pd.DataFrame({
"A": [1, 2, 3],
"B":
pd.Series(["2012-01-01", "2015-02-03", "2019-05-23"],
dtype="datetime64[ns]"),
"C": ["a", "b", "c"],
})
result = render(
pd.DataFrame(),
{
"tab":
TabOutput(
"tab-2",
"Tab 2",
{
"A": RenderColumn("A", "number", "{,.2f}"),
"B": RenderColumn("B", "datetime", None),
"C": RenderColumn("C", "text", None),
},
dataframe,
)
},
)
assert_frame_equal(result["dataframe"], dataframe)
self.assertEqual(result["column_formats"], {"A": "{,.2f}"})
def test_convert_float(self):
result = render(
pd.DataFrame({
"A": [1.111],
"B": [2.6]
}),
{"colnames": ["A", "B"]},
input_columns={
"A": RenderColumn("A", "number", "{:.2f}"),
"B": RenderColumn("B", "number", "{:d}"),
},
)
assert_frame_equal(result, pd.DataFrame({"A": ["1.11"], "B": ["2"]}))
def test_convert_null(self):
result = render(
pd.DataFrame({"A": [1, np.nan]}),
{"colnames": ["A"]},
input_columns={"A": RenderColumn("A", "number", "{:,d}")},
)
assert_frame_equal(result, pd.DataFrame({"A": ["1", np.nan]}))
def test_convert_str(self):
result = render(
pd.DataFrame({"A": ["a"]}),
{"colnames": ["A"]},
input_columns={"A": RenderColumn("A", "text", None)},
)
assert_frame_equal(result, pd.DataFrame({"A": ["a"]}))
def test_arrow_date32_column(self):
self.assertEqual(
arrow_schema_to_render_columns(
pa.schema([pa.field("A", pa.date32(), metadata={"unit": "month"})])
),
{"A": RenderColumn("A", "date", "month")},
)
def test_arrow_schema_uint8_column(self):
self.assertEqual(
arrow_schema_to_render_columns(
pa.schema([pa.field("A", pa.uint8(), metadata={"format": "{:,d}"})])
),
{"A": RenderColumn("A", "number", "{:,d}")},
)
def test_arrow_timestamp_column(self):
self.assertEqual(
arrow_schema_to_render_columns(
pa.schema([pa.field("A", pa.timestamp("ns"))])
),
{"A": RenderColumn("A", "timestamp", None)},
)
def test_arrow_schema_category_column(self):
self.assertEqual(
arrow_schema_to_render_columns(
pa.schema([pa.field("A", pa.dictionary(pa.int32(), pa.string()))])
),
{"A": RenderColumn("A", "text", None)},
)
def test_convert_numbers_all_null(self):
result = render(
pd.DataFrame({"A": [np.nan, np.nan]}, dtype=np.float64),
{"colnames": ["A"]},
input_columns={"A": RenderColumn("A", "number", "{:d}")},
)
assert_frame_equal(result,
pd.DataFrame({"A": [np.nan, np.nan]}, dtype=object))
def test_NOP(self):
# should NOP when first applied
result = render(
pd.DataFrame({"A": [0.006]}),
{"colnames": []},
input_columns={"A": RenderColumn("A", "number", "{:.2f}")},
)
assert_frame_equal(result, pd.DataFrame({"A": [0.006]}))
def test_right_join_delete_unused_categories_in_input_columns(self):
left = pd.DataFrame(
{
"A": pd.Series(["a", "b"], dtype="category"), # join column
"B": pd.Series(["c", "d"], dtype="category"), # other column
}
)
right = pd.DataFrame(
{"A": pd.Series(["a"], dtype="category"), "C": ["e"]} # join column
)
result = render(
left,
{
"right_tab": TabOutput(
"slug",
"Tab 2",
{
"A": RenderColumn("A", "text", None),
"C": RenderColumn("C", "text", None),
},
right,
),
"join_columns": {"on": ["A"], "right": ["C"]},
"type": "right",
},
input_columns={
"A": RenderColumn("A", "text", None),
"B": RenderColumn("B", "text", None),
},
)
# 'b' and 'd' categories don't appear in result, so it should not be
# categories in the result dataframe.
assert_frame_equal(
result["dataframe"],
pd.DataFrame(
{
"A": pd.Series(["a"], dtype="category"),
"B": pd.Series(["c"], dtype="category"),
"C": ["e"],
}
),
)
def test_happy_path(self):
result = render(
pd.DataFrame({"A": [1, 2]}),
params={
"tabs": [
TabOutput(
"tab-2",
"Tab 2",
{"A": RenderColumn("A", "number", "{}")},
pd.DataFrame({"A": [3, 4]}),
)
],
"add_source_column":
False,
"source_column_name":
"",
},
tab_name="Tab 1",
input_columns={"A": RenderColumn("A", "number", "{}")},
)
assert_frame_equal(result, pd.DataFrame({"A": [1, 2, 3, 4]}))
def test_convert_datetime(self):
result = render(
pd.DataFrame({
"A":
[np.datetime64("2018-01-01"),
np.datetime64("2019-02-13")]
}),
{"colnames": ["A"]},
input_columns={"A": RenderColumn("A", "datetime", None)},
)
assert_frame_equal(result,
pd.DataFrame({"A": ["2018-01-01", "2019-02-13"]}))
def test_inner_join_delete_unused_categories_in_all_columns(self):
left = pd.DataFrame(
{
"A": pd.Series(["a", "b"], dtype="category"), # join column
"B": pd.Series(["c", "d"], dtype="category"), # other column
}
)
right = pd.DataFrame(
{
"A": pd.Series(["a", "x"], dtype="category"), # join column
"C": pd.Series(["e", "y"], dtype="category"), # other column
}
)
result = render(
left,
{
"right_tab": TabOutput(
"slug",
"Tab 2",
{
"A": RenderColumn("A", "text", None),
"C": RenderColumn("C", "text", None),
},
right,
),
"join_columns": {"on": ["A"], "right": ["C"]},
"type": "inner",
},
input_columns={
"A": RenderColumn("A", "text", None),
"B": RenderColumn("B", "text", None),
},
)
# 'b', 'd', 'x' and 'y' categories don't appear in the result, so the
# dtypes should not contain them.
assert_frame_equal(
result["dataframe"],
pd.DataFrame({"A": ["a"], "B": ["c"], "C": ["e"]}, dtype="category"),
)
def test_coerce_categories_and_str(self):
result = render(
pd.DataFrame({"A": ["a", "b"]}, dtype="category"), # cat
params={
"tabs": [
TabOutput(
"tab-2",
"Tab 2",
{"A": RenderColumn("A", "text", None)},
pd.DataFrame({"A": ["c", "d"]}),
) # str
],
"add_source_column":
False,
"source_column_name":
"",
},
tab_name="Tab 1",
input_columns={"A": RenderColumn("A", "text", None)},
)
assert_frame_equal(result, pd.DataFrame({"A": ["a", "b", "c",
"d"]})) # str
def test_left_join_delete_unused_categories_in_added_columns(self):
left = pd.DataFrame({"A": ["a", "b"]}, dtype="category")
right = pd.DataFrame(
{
"A": pd.Series(["a", "z"], dtype="category"),
"B": pd.Series(["x", "y"], dtype="category"),
}
)
result = render(
left,
{
"right_tab": TabOutput(
"slug",
"Tab 2",
{
"A": RenderColumn("A", "text", None),
"B": RenderColumn("B", "text", None),
},
right,
),
"join_columns": {"on": ["A"], "right": ["B"]},
"type": "left",
},
input_columns={"A": RenderColumn("A", "text", None)},
)
# 'z' category does not appear in result, so it should not be a
# category in the 'B' column.
assert_frame_equal(
result["dataframe"],
pd.DataFrame(
{
"A": pd.Series(["a", "b"], dtype="category"),
"B": pd.Series(["x", np.nan], dtype="category"),
}
),
)
def test_happy_path(self):
result = render(
pd.DataFrame(),
{
"tab":
TabOutput(
"tab-2",
"Tab 2",
{"A": RenderColumn("A", "number", "{}")},
pd.DataFrame({"A": [3, 4]}),
)
},
)
assert_frame_equal(result["dataframe"], pd.DataFrame({"A": [3, 4]}))
self.assertEqual(result["column_formats"], {"A": "{}"})
def test_left(self):
left = pd.DataFrame({"A": [1, 2, 3], "B": ["x", "y", "z"]})
right = pd.DataFrame({"A": [1, 2], "C": ["X", "Y"], "D": [0.1, 0.2]})
result = render(
left,
{
"right_tab": TabOutput(
"slug",
"name",
{
"A": RenderColumn("A", "number", "{:,.2f}"),
"C": RenderColumn("C", "text", None),
"D": RenderColumn("D", "number", "{:,}"),
},
right,
),
"join_columns": {"on": ["A"], "right": ["C", "D"]},
"type": "left",
},
input_columns={
"A": RenderColumn("A", "number", "{:d}"),
"B": RenderColumn("B", "text", None),
},
)
assert_frame_equal(
result["dataframe"],
pd.DataFrame(
{
"A": [1, 2, 3],
"B": ["x", "y", "z"],
"C": ["X", "Y", np.nan],
"D": [0.1, 0.2, np.nan],
}
),
)
self.assertEqual(result["column_formats"], {"C": None, "D": "{:,}"})
def test_arrow_schema_text_column(self):
self.assertEqual(
arrow_schema_to_render_columns(pa.schema([pa.field("A", pa.string())])),
{"A": RenderColumn("A", "text", None)},
)
