def test_latlong(es):
log_latlong_feat = es['log']['latlong']
latitude = Latitude(log_latlong_feat)
longitude = Longitude(log_latlong_feat)
features = [latitude, longitude]
pandas_backend = PandasBackend(es, features)
df = pandas_backend.calculate_all_features(instance_ids=range(15),
time_last=None)
latvalues = df[latitude.get_name()].values
lonvalues = df[longitude.get_name()].values
assert len(latvalues) == 15
assert len(lonvalues) == 15
real_lats = [0, 5, 10, 15, 20, 0, 1, 2, 3, 0, 0, 5, 0, 7, 14]
real_lons = [0, 2, 4, 6, 8, 0, 1, 2, 3, 0, 0, 2, 0, 3, 6]
for i, v, in enumerate(real_lats):
assert v == latvalues[i]
for i, v, in enumerate(real_lons):
assert v == lonvalues[i]
def test_latlong(es):
log_latlong_feat = es['log']['latlong']
latitude = Latitude(log_latlong_feat)
longitude = Longitude(log_latlong_feat)
features = [latitude, longitude]
pandas_backend = PandasBackend(es, features)
df = pandas_backend.calculate_all_features(instance_ids=range(15),
time_last=None)
latvalues = df[latitude.get_name()].values
lonvalues = df[longitude.get_name()].values
assert len(latvalues) == 15
assert len(lonvalues) == 15
real_lats = [0, 5, 10, 15, 20, 0, 1, 2, 3, 0, 0, 5, 0, 7, 14]
real_lons = [0, 2, 4, 6, 8, 0, 1, 2, 3, 0, 0, 2, 0, 3, 6]
for i, v, in enumerate(real_lats):
assert v == latvalues[i]
for i, v, in enumerate(real_lons):
assert v == lonvalues[i]