def test_one_inspection_empty_crimes(self):
crimes = []
parcels = [("parcelA", "01Dec2014", "tract567")]
population = [("tract567", 1234)]
window = datetime.timedelta(days=365)
expected = [("parcelA", timestamp("01Dec2014"), 0.0)]
actual = crime_agg.crimerate_in_aggregation_area(self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[["parcel_id", "inspection_date", "crime_rate"]].values
self.assert_array_almost_equal(expected, actual)
def test_one_inspection_one_crime_missing_tract(self):
crimes = [("16Sep2014", "tract567", 3)]
parcels = [("parcelA", "01Dec2014", "tract567")]
population = []
window = datetime.timedelta(days=365)
expected = [("parcelA", date("01Dec2014"), np.nan)]
actual = crime_agg.crimerate_in_aggregation_area(self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[["parcel_id", "inspection_date", "crime_rate"]].values
self.assert_array_almost_equal(expected, actual)
def test_one_inspection_empty_crimes(self):
crimes = []
parcels = [("parcelA", "01Dec2014", "tract567")]
population = [("tract567", 1234)]
window = datetime.timedelta(days=365)
expected = [("parcelA", timestamp("01Dec2014"), 0.0)]
actual = crime_agg.crimerate_in_aggregation_area(
self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[[
"parcel_id", "inspection_date", "crime_rate"
]].values
self.assert_array_almost_equal(expected, actual)
def test_one_inspection_one_crime_missing_tract(self):
crimes = [("16Sep2014", "tract567", 3)]
parcels = [("parcelA", "01Dec2014", "tract567")]
population = []
window = datetime.timedelta(days=365)
expected = [("parcelA", date("01Dec2014"), np.nan)]
actual = crime_agg.crimerate_in_aggregation_area(
self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[[
"parcel_id", "inspection_date", "crime_rate"
]].values
self.assert_array_almost_equal(expected, actual)
def test_several_inspections_several_parcels_same_tract(self):
crimes = [("16Sep2014", "tract567", 3),
("18Oct2014", "tract567", 1)]
parcels = [("parcelA", "01Dec2014", "tract567"),
("parcelB", "18Nov2014", "tract567"),]
population = [("tract567", 1234)]
window = datetime.timedelta(days=365)
expected = [("parcelA", timestamp("01Dec2014"), 4 / float(1234)),
("parcelB", timestamp("18Nov2014"), 4 / float(1234))]
actual = crime_agg.crimerate_in_aggregation_area(self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[["parcel_id", "inspection_date", "crime_rate"]].values
self.assert_array_almost_equal(expected, actual)
def test_several_inspections_same_parcel_one_crime_in_range(self):
crimes = [("16Sep2014", "tract567", 3), ("18Dec2014", "tract567", 1)]
parcels = [("parcelA", "01Dec2014", "tract567"),
("parcelA", "18Nov2014", "tract567")]
population = [("tract567", 1234)]
window = datetime.timedelta(days=365)
expected = [("parcelA", timestamp("01Dec2014"), 3 / float(1234)),
("parcelA", timestamp("18Nov2014"), 3 / float(1234))]
actual = crime_agg.crimerate_in_aggregation_area(
self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[[
"parcel_id", "inspection_date", "crime_rate"
]].values
self.assert_array_almost_equal(expected, actual)
def test_six_month_window(self):
crimes = [("16Sep2014", "tract567", 3),
("18Sep2014", "tract568", 1),
("14Mar2014", "tract568", 6)]
parcels = [("parcelA", "01Dec2014", "tract567"),
("parcelB", "18Apr2014", "tract568"),]
population = [("tract567", 1234),
("tract568", 234)]
window = datetime.timedelta(days=180)
expected = [("parcelA", timestamp("01Dec2014"), 3 / float(1234)),
("parcelB", timestamp("18Apr2014"), 6 / float(234))]
actual = crime_agg.crimerate_in_aggregation_area(self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[["parcel_id", "inspection_date", "crime_rate"]].values
self.assert_array_almost_equal(expected, actual)
assert_array_equal(expected, actual)
def test_six_month_window(self):
crimes = [("16Sep2014", "tract567", 3), ("18Sep2014", "tract568", 1),
("14Mar2014", "tract568", 6)]
parcels = [
("parcelA", "01Dec2014", "tract567"),
("parcelB", "18Apr2014", "tract568"),
]
population = [("tract567", 1234), ("tract568", 234)]
window = datetime.timedelta(days=180)
expected = [("parcelA", timestamp("01Dec2014"), 3 / float(1234)),
("parcelB", timestamp("18Apr2014"), 6 / float(234))]
actual = crime_agg.crimerate_in_aggregation_area(
self.make_parcels_df(parcels), self.make_crimerate_df(crimes),
self.make_population_df(population), window)
actual = actual.reset_index()[[
"parcel_id", "inspection_date", "crime_rate"
]].values
self.assert_array_almost_equal(expected, actual)
assert_array_equal(expected, actual)