def test_isnull_feat(es):
value = IdentityFeature(es['log']['value'])
diff = Diff(value, es['log']['session_id'])
isnull = IsNull(diff)
features = [isnull]
pandas_backend = PandasBackend(es, features)
df = pandas_backend.calculate_all_features(range(15), None)
# correct_vals_diff = [
# np.nan, 5, 5, 5, 5, np.nan, 1, 1, 1, np.nan, np.nan, 5, np.nan, 7, 7]
correct_vals = [True, False, False, False, False, True, False, False,
False, True, True, False, True, False, False]
values = df[isnull.get_name()].values.tolist()
assert correct_vals == values
def test_isnull_feat(es):
value = IdentityFeature(es['log']['value'])
diff = Diff(value, es['log']['session_id'])
isnull = IsNull(diff)
features = [isnull]
pandas_backend = PandasBackend(es, features)
df = pandas_backend.calculate_all_features(range(15), None)
# correct_vals_diff = [
# np.nan, 5, 5, 5, 5, np.nan, 1, 1, 1, np.nan, np.nan, 5, np.nan, 7, 7]
correct_vals = [True, False, False, False, False, True, False, False,
False, True, True, False, True, False, False]
values = df[isnull.get_name()].values.tolist()
assert correct_vals == values
def test_call_trans():
primitive = IsNull()
for _ in range(2):
assert pd.Series([False] * 6).equals(primitive(range(6)))
def is_null(self):
"""Compares feature to null by equality"""
from featuretools.primitives import IsNull
return IsNull(self)
def test_call_trans():
primitive = IsNull()
assert pd.Series([False for i in range(6)]).equals(primitive(range(6)))
assert pd.Series([False for i in range(6)]).equals(primitive(range(6)))
