def test_error_with_prefix_contains_unassigned(dummies_with_unassigned):
with pytest.raises(
ValueError,
match=(r"Dummy DataFrame contains unassigned value\(s\); "
r"First instance in row: 2"),
):
from_dummies(dummies_with_unassigned, sep="_")
def test_error_wrong_data_type():
dummies = [0, 1, 0]
with pytest.raises(
TypeError,
match=
r"Expected 'data' to be a 'DataFrame'; Received 'data' of type: list",
):
from_dummies(dummies)
def test_error_no_prefix_contains_unassigned():
dummies = DataFrame({"a": [1, 0, 0], "b": [0, 1, 0]})
with pytest.raises(
ValueError,
match=(r"Dummy DataFrame contains unassigned value\(s\); "
r"First instance in row: 2"),
):
from_dummies(dummies)
def test_error_no_prefix_multi_assignment():
dummies = DataFrame({"a": [1, 0, 1], "b": [0, 1, 1]})
with pytest.raises(
ValueError,
match=(r"Dummy DataFrame contains multi-assignment\(s\); "
r"First instance in row: 2"),
):
from_dummies(dummies)
def test_error_with_prefix_sep_wrong_type(dummies_basic):
with pytest.raises(
TypeError,
match=(r"Expected 'sep' to be of type 'str' or 'None'; "
r"Received 'sep' of type: list"),
):
from_dummies(dummies_basic, sep=["_"])
def test_error_no_prefix_wrong_default_category_type():
dummies = DataFrame({"a": [1, 0, 1], "b": [0, 1, 1]})
with pytest.raises(
TypeError,
match=
(r"Expected 'default_category' to be of type 'None', 'Hashable', or 'dict'; "
r"Received 'default_category' of type: list"),
):
from_dummies(dummies, default_category=["c", "d"])
def test_error_with_prefix_default_category_dict_not_complete(
dummies_with_unassigned, ):
with pytest.raises(
ValueError,
match=(r"Length of 'default_category' \(1\) did not match "
r"the length of the columns being encoded \(2\)"),
):
from_dummies(dummies_with_unassigned,
sep="_",
default_category={"col1": "x"})
def test_error_contains_non_dummies():
dummies = DataFrame({
"a": [1, 6, 3, 1],
"b": [0, 1, 0, 2],
"c": ["c1", "c2", "c3", "c4"]
})
with pytest.raises(
TypeError,
match=r"Passed DataFrame contains non-dummy data",
):
from_dummies(dummies)
def test_error_with_prefix_default_category_wrong_type(
dummies_with_unassigned):
with pytest.raises(
TypeError,
match=
(r"Expected 'default_category' to be of type 'None', 'Hashable', or 'dict'; "
r"Received 'default_category' of type: list"),
):
from_dummies(dummies_with_unassigned,
sep="_",
default_category=["x", "y"])
def test_error_with_prefix_multiple_seperators():
dummies = DataFrame(
{
"col1_a": [1, 0, 1],
"col1_b": [0, 1, 0],
"col2-a": [0, 1, 0],
"col2-b": [1, 0, 1],
}, )
with pytest.raises(
ValueError,
match=(r"Separator not specified for column: col2-a"),
):
from_dummies(dummies, sep="_")
def test_error_with_prefix_double_assignment():
dummies = DataFrame(
{
"col1_a": [1, 0, 1],
"col1_b": [1, 1, 0],
"col2_a": [0, 1, 0],
"col2_b": [1, 0, 0],
"col2_c": [0, 0, 1],
}, )
with pytest.raises(
ValueError,
match=(r"Dummy DataFrame contains multi-assignment\(s\); "
r"First instance in row: 0"),
):
from_dummies(dummies, sep="_")
def test_no_prefix_string_cats_basic_mixed_bool_values():
dummies = DataFrame({
"a": [1, 0, 0, 1],
"b": [False, True, False, False],
"c": [0, 0, 1, 0]
})
expected = DataFrame({"": ["a", "b", "c", "a"]})
result = from_dummies(dummies)
tm.assert_frame_equal(result, expected)
def test_no_prefix_string_cats_basic():
dummies = DataFrame({
"a": [1, 0, 0, 1],
"b": [0, 1, 0, 0],
"c": [0, 0, 1, 0]
})
expected = DataFrame({"": ["a", "b", "c", "a"]})
result = from_dummies(dummies)
tm.assert_frame_equal(result, expected)
def test_no_prefix_int_cats_basic():
dummies = DataFrame({
1: [1, 0, 0, 0],
25: [0, 1, 0, 0],
2: [0, 0, 1, 0],
5: [0, 0, 0, 1]
})
expected = DataFrame({"": [1, 25, 2, 5]}, dtype="object")
result = from_dummies(dummies)
tm.assert_frame_equal(result, expected)
def test_no_prefix_float_cats_basic():
dummies = DataFrame({
1.0: [1, 0, 0, 0],
25.0: [0, 1, 0, 0],
2.5: [0, 0, 1, 0],
5.84: [0, 0, 0, 1]
})
expected = DataFrame({"": [1.0, 25.0, 2.5, 5.84]}, dtype="object")
result = from_dummies(dummies)
tm.assert_frame_equal(result, expected)
def test_no_prefix_mixed_cats_basic():
dummies = DataFrame({
1.23: [1, 0, 0, 0, 0],
"c": [0, 1, 0, 0, 0],
2: [0, 0, 1, 0, 0],
False: [0, 0, 0, 1, 0],
None: [0, 0, 0, 0, 1],
})
expected = DataFrame({"": [1.23, "c", 2, False, None]}, dtype="object")
result = from_dummies(dummies)
tm.assert_frame_equal(result, expected)
def test_with_prefix_contains_get_dummies_NaN_column():
dummies = DataFrame(
{
"col1_a": [1, 0, 0],
"col1_b": [0, 1, 0],
"col1_NaN": [0, 0, 1],
"col2_a": [0, 1, 0],
"col2_b": [0, 0, 0],
"col2_c": [0, 0, 1],
"col2_NaN": [1, 0, 0],
}, )
expected = DataFrame({
"col1": ["a", "b", "NaN"],
"col2": ["NaN", "a", "c"]
})
result = from_dummies(dummies, sep="_")
tm.assert_frame_equal(result, expected)
def test_error_with_prefix_contains_nan(dummies_basic):
dummies_basic["col2_c"][2] = np.nan
with pytest.raises(
ValueError,
match=r"Dummy DataFrame contains NA value in column: 'col2_c'"):
from_dummies(dummies_basic, sep="_")
def test_error_no_prefix_contains_nan():
dummies = DataFrame({"a": [1, 0, 0], "b": [0, 1, np.nan]})
with pytest.raises(
ValueError,
match=r"Dummy DataFrame contains NA value in column: 'b'"):
from_dummies(dummies)
def test_error_with_prefix_contains_non_dummies(dummies_basic):
dummies_basic["col2_c"][2] = "str"
with pytest.raises(TypeError,
match=r"Passed DataFrame contains non-dummy data"):
from_dummies(dummies_basic, sep="_")
def test_roundtrip_with_prefixes():
categories = DataFrame({"col1": ["a", "b", "a"], "col2": ["b", "a", "c"]})
dummies = get_dummies(categories)
result = from_dummies(dummies, sep="_")
expected = categories
tm.assert_frame_equal(result, expected)
def test_roundtrip_series_to_dataframe():
categories = Series(["a", "b", "c", "a"])
dummies = get_dummies(categories)
result = from_dummies(dummies)
expected = DataFrame({"": ["a", "b", "c", "a"]})
tm.assert_frame_equal(result, expected)
def test_with_prefix_default_category(dummies_with_unassigned,
default_category, expected):
result = from_dummies(dummies_with_unassigned,
sep="_",
default_category=default_category)
tm.assert_frame_equal(result, expected)
def test_roundtrip_single_column_dataframe():
categories = DataFrame({"": ["a", "b", "c", "a"]})
dummies = get_dummies(categories)
result = from_dummies(dummies, sep="_")
expected = categories
tm.assert_frame_equal(result, expected)
def test_with_prefix_basic(dummies_basic):
expected = DataFrame({"col1": ["a", "b", "a"], "col2": ["b", "a", "c"]})
result = from_dummies(dummies_basic, sep="_")
tm.assert_frame_equal(result, expected)
def test_no_prefix_string_cats_default_category(default_category, expected):
dummies = DataFrame({"a": [1, 0, 0], "b": [0, 1, 0]})
result = from_dummies(dummies, default_category=default_category)
tm.assert_frame_equal(result, expected)
def test_no_prefix_string_cats_contains_get_dummies_NaN_column():
dummies = DataFrame({"a": [1, 0, 0], "b": [0, 1, 0], "NaN": [0, 0, 1]})
expected = DataFrame({"": ["a", "b", "NaN"]})
result = from_dummies(dummies)
tm.assert_frame_equal(result, expected)
