def test_rejects_invalid_geopoint() -> None:
"""It rejects invalid geopoints (default format)."""
x = pd.Series([
"0, 1", # two spaces after comma (NOTE: valid?)
" 0, 1 ", # leading/trailing whitespace (NOTE: valid?)
"0, 1, 2", # too many coordinates
"0", # too few coordinates
"x, y", # non-numeric coordinates
])
error = parse_geopoint(x)
pd.testing.assert_series_equal(x, pd.Series(error["values"]))
def test_rejects_invalid_geopoint_array() -> None:
"""It rejects invalid geopoints (JSON array)."""
x = pd.Series([
"[0, 1, 2]", # too many coordinates
"[0]", # too few coordinates
"[x, y]", # non-numeric coordinates
"x, y]", # missing left bracket
"[x, y", # missing right bracket
"x, y", # missing brackets
])
error = parse_geopoint(x, format="array")
pd.testing.assert_series_equal(x, pd.Series(error["values"]))
def test_rejects_invalid_geopoint_object() -> None:
"""It rejects invalid geopoints (JSON object)."""
x = pd.Series([
'{"lon": 0, "lat": 1, "z": 2}', # too many coordinates
'{"lon": 0}', # too few coordinates
'{"lon": x, "lat": y}', # non-numeric coordinates
'{"lon": "x", "lat": "y"}', # non-numeric coordinates
'{"LON": 0, "LAT": 1}', # wrong key case
'{"longitude": 0, "latitude": 1}', # wrong keys
"[0, 1]", # array format
"0, 1", # default format
'{"lon": 0, "lat": 1', # missing right brace
])
error = parse_geopoint(x, format="object")
pd.testing.assert_series_equal(x, pd.Series(error["values"]))
def test_parses_valid_geopoint_array() -> None:
"""It parses valid geopoints (JSON array)."""
df = pd.DataFrame([
("[0.1, 2.3]", (0.1, 2.3)),
("[0.1,2.3]", (0.1, 2.3)), # no space after comma
(" [0.1, 2.3] ", (0.1, 2.3)), # trailing/leading white space
("[0.1, 2.3]", (0.1, 2.3)), # two spaces after comma
("[0, 1]", (0.0, 1.0)), # integer coordinates
("[-0.1, -2.3]", (-0.1, -2.3)), # negative coordinates
# special values (NOTE: invalid?)
("[Infinity, NaN]", (float("inf"), float("nan"))
), # works in json.loads()
("[inf, nan]", (float("inf"), float("nan"))), # fails in json.loads()
])
parsed = parse_geopoint(df[0], format="array")
pd.testing.assert_series_equal(parsed, df[1], check_names=False)
def test_parses_valid_geopoint() -> None:
"""It parses valid geopoints (default format)."""
df = pd.DataFrame([
("0.1, 2.3", (0.1, 2.3)),
("0.1,2.3", (0.1, 2.3)), # no space after comma
("0, 1", (0.0, 1.0)), # integer coordinates
("-0.1, -2.3", (-0.1, -2.3)), # negative coordinates
# special values (NOTE: invalid?)
(
"Infinity, NaN",
(float("inf"), float("nan")),
), # works in json.loads(lon|lat)
("inf, nan", (float("inf"),
float("nan"))), # fails in json.loads(lon|lat)
])
parsed = parse_geopoint(df[0])
pd.testing.assert_series_equal(parsed, df[1], check_names=False)
def test_parses_valid_geopoint_object() -> None:
"""It parses valid geopoints (JSON object)."""
df = pd.DataFrame([
('{"lon": 0.1, "lat": 2.3}', (0.1, 2.3)),
('{"lat": 2.3, "lon": 0.1}', (0.1, 2.3)), # lat, then lon
('{"lon": 0.1,"lat": 2.3}', (0.1, 2.3)), # no space after comma
(' {"lon": 0.1, "lat": 2.3} ', (0.1,
2.3)), # trailing/leading white space
('{"lon": 0.1, "lat": 2.3}', (0.1, 2.3)), # two spaces after comma
('{"lon": 0, "lat": 1}', (0.0, 1.0)), # integer coordinates
('{"lon": -0.1, "lat": -2.3}', (-0.1, -2.3)), # negative coordinates
# special values (NOTE: invalid?)
(
'{"lon": Infinity, "lat": NaN}',
(float("inf"), float("nan")),
), # works in json.loads()
(
'{"lon": inf, "lat": nan}',
(float("inf"), float("nan")),
), # fails in json.loads()
])
parsed = parse_geopoint(df[0], format="object")
pd.testing.assert_series_equal(parsed, df[1], check_names=False)