def test_location_introversion_column_names(exemplar_level_param):
""" Test that column_names property matches head(0)"""
if exemplar_level_param["level"] == "versioned-site":
pytest.skip(
'The level "versioned-site" is currently not supported in the `LocationIntroversion()` class.'
)
li = LocationIntroversion("2016-01-01", "2016-01-07", **exemplar_level_param)
assert li.head(0).columns.tolist() == li.column_names
def test_introversion_plus_extroversion_equals_one(get_dataframe):
"""
LocationIntroversion()['introversion'] + ['extroversion'] equals 1.
"""
df = get_dataframe(LocationIntroversion("2016-01-01", "2016-01-07", level="admin3"))
df["addition"] = df["introversion"] + df["extroversion"]
assert df["addition"].sum() == len(df)
def test_no_result_is_greater_than_one(get_dataframe):
"""
No results from LocationIntroversion()['introversion'] is greater than 1.
"""
df = get_dataframe(LocationIntroversion("2016-01-01", "2016-01-07", level="admin3"))
results = df[df["introversion"] > 1]
assert len(results) == 0
def test_introversion_raises_notimplemented_error_with_versioned_site():
"""
LocationIntroversion(level='versioned-site') raises a NotImplementedError.
"""
with pytest.raises(NotImplementedError):
LocationIntroversion("2016-01-01",
"2016-01-07",
level="versioned-site")
def test_lat_lng_introversion(get_dataframe):
df = get_dataframe(
LocationIntroversion("2016-01-01", "2016-01-07", level="lat-lon"))
assert pytest.approx(0.0681818181818182) == df.introversion.max()
assert 1.0 == df.extroversion.max()
assert [28.2715052907426, 83.7762949093138
] == df.sort_values("extroversion").iloc[-1][["lat",
"lon"]].tolist()
def test_lon_lat_introversion(get_dataframe):
df = get_dataframe(
LocationIntroversion("2016-01-01",
"2016-01-07",
spatial_unit=make_spatial_unit("lon-lat")))
assert pytest.approx(0.0681818181818182) == df.value.max()
assert (pytest.approx([
83.7762949093138, 28.2715052907426
]) == df.sort_values("value").iloc[0][["lon", "lat"]].tolist())
def test_some_results(get_dataframe):
"""
LocationIntroversion() returns a dataframe that contains hand-picked results.
"""
df = get_dataframe(LocationIntroversion("2016-01-01", "2016-01-07", level="admin3"))
set_df = df.set_index("name")
assert round(set_df.loc["Dolpa"]["introversion"], 6) == pytest.approx(0.108517)
assert round(set_df.loc["Myagdi"]["introversion"], 6) == pytest.approx(0.097884)
assert round(set_df.loc["Ramechhap"]["extroversion"], 6) == pytest.approx(0.936842)
def test_no_result_is_greater_than_one(get_dataframe):
"""
No results from LocationIntroversion()['introversion'] is greater than 1.
"""
df = get_dataframe(
LocationIntroversion("2016-01-01",
"2016-01-07",
spatial_unit=make_spatial_unit("admin", level=3)))
results = df[df["value"] > 1]
assert len(results) == 0
def test_some_results(get_dataframe):
"""
LocationIntroversion() returns a dataframe that contains hand-picked results.
"""
df = get_dataframe(
LocationIntroversion(
"2016-01-01", "2016-01-07", spatial_unit=make_spatial_unit("admin", level=3)
)
)
set_df = df.set_index("pcod")
assert round(set_df.loc["524 4 12 62"]["value"], 6) == pytest.approx(0.108517)
assert round(set_df.loc["524 3 08 44"]["value"], 6) == pytest.approx(0.097884)
assert round(1 - set_df.loc["524 2 04 21"]["value"], 6) == pytest.approx(0.936842)
def test_location_introversion_column_names(exemplar_spatial_unit_param):
"""Test that column_names property matches head(0)"""
li = LocationIntroversion(
"2016-01-01", "2016-01-07", spatial_unit=exemplar_spatial_unit_param
)
assert li.head(0).columns.tolist() == li.column_names
