def test_arithmetic_of_val(es):
to_test = [(Add, [2.0, 7.0, 12.0, 17.0], [2.0, 7.0, 12.0, 17.0]),
(Subtract, [-2.0, 3.0, 8.0, 13.0], [2.0, -3.0, -8.0, -13.0]),
(Multiply, [0, 10, 20, 30], [0, 10, 20, 30]),
(Divide, [0, 2.5, 5,
7.5], [np.inf, 0.4, 0.2,
2 / 15.0], [np.nan, np.inf, np.inf, np.inf])]
features = []
logs = es['log']
for test in to_test:
features.append(test[0](logs['value'], 2))
features.append(test[0](2, logs['value']))
features.append(Divide(logs['value'], 0))
pandas_backend = PandasBackend(es, features)
df = pandas_backend.calculate_all_features(instance_ids=[0, 1, 2, 3],
time_last=None)
for i, test in enumerate(to_test):
v = df[features[2 * i].get_name()].values.tolist()
assert v == test[1]
v = df[features[2 * i + 1].get_name()].values.tolist()
assert v == test[2]
test = to_test[-1][-1]
v = df[features[-1].get_name()].values.tolist()
assert (np.isnan(v[0]))
assert v[1:] == test[1:]
def __div__(self, other_feature_or_val):
"""Divide by other_feature_or_val
See also:
:meth:`PrimitiveBase.divide`
"""
from featuretools.primitives import Divide
return Divide(self, other_feature_or_val)
def __rdiv__(self, other_feature_or_val):
from featuretools.primitives import Divide
return Divide(other_feature_or_val, self)