def test_reversability_categorical(self):
class F(Classifier):
inputs = ()
window_length = 0
dtype = categorical_dtype
missing_value = '<missing>'
f = F()
column_data = LabelArray(
np.array(
[['a', f.missing_value],
['b', f.missing_value],
['c', 'd']],
),
missing_value=f.missing_value,
)
assert_equal(
f.postprocess(column_data.ravel()),
pd.Categorical(
['a', f.missing_value, 'b', f.missing_value, 'c', 'd'],
),
)
# only include the non-missing data
pipeline_output = pd.Series(
data=['a', 'b', 'c', 'd'],
index=pd.MultiIndex.from_arrays([
[pd.Timestamp('2014-01-01'),
pd.Timestamp('2014-01-02'),
pd.Timestamp('2014-01-03'),
pd.Timestamp('2014-01-03')],
[0, 0, 0, 1],
]),
dtype='category',
)
assert_equal(
f.to_workspace_value(pipeline_output, pd.Index([0, 1])),
column_data,
)
def test_reversability_categorical(self):
class F(Classifier):
inputs = ()
window_length = 0
dtype = categorical_dtype
missing_value = '<missing>'
f = F()
column_data = LabelArray(
np.array(
[['a', f.missing_value],
['b', f.missing_value],
['c', 'd']],
),
missing_value=f.missing_value,
)
assert_equal(
f.postprocess(column_data.ravel()),
pd.Categorical(
['a', f.missing_value, 'b', f.missing_value, 'c', 'd'],
),
)
# only include the non-missing data
pipeline_output = pd.Series(
data=['a', 'b', 'c', 'd'],
index=pd.MultiIndex.from_arrays([
[pd.Timestamp('2014-01-01'),
pd.Timestamp('2014-01-02'),
pd.Timestamp('2014-01-03'),
pd.Timestamp('2014-01-03')],
[0, 0, 0, 1],
]),
dtype='category',
)
assert_equal(
f.to_workspace_value(pipeline_output, pd.Index([0, 1])),
column_data,
)
def test_reversability_categorical(self):
class F(Classifier):
inputs = ()
window_length = 0
dtype = categorical_dtype
missing_value = "<missing>"
f = F()
column_data = LabelArray(
np.array([["a", f.missing_value], ["b", f.missing_value],
["c", "d"]], ),
missing_value=f.missing_value,
)
assert_equal(
f.postprocess(column_data.ravel()),
pd.Categorical(
["a", f.missing_value, "b", f.missing_value, "c", "d"], ),
)
# only include the non-missing data
pipeline_output = pd.Series(
data=["a", "b", "c", "d"],
index=pd.MultiIndex.from_arrays([
[
pd.Timestamp("2014-01-01"),
pd.Timestamp("2014-01-02"),
pd.Timestamp("2014-01-03"),
pd.Timestamp("2014-01-03"),
],
[0, 0, 0, 1],
]),
dtype="category",
)
assert_equal(
f.to_workspace_value(pipeline_output, pd.Index([0, 1])),
column_data,
)
