def test_gpd_to_values_no_geom():
data = gpd.GeoDataFrame(pd.np.arange(3), columns=['param'])
with pytest.warns(UserWarning,
match="GeoDataFrame has no geometry to display."):
for a, b in zip(json.loads(gpdvega.gpd_to_values(data)['values']),
data.param.tolist()):
assert a['param'] == b
def test_gpd_to_values():
data = _create_geojson()
for a, b in zip(
json.loads(gpdvega.gpd_to_values(geojson2gdp(data))['values']),
data['features']):
assert a['id'] == b['id']
assert a['prop'] == b['properties']['prop']
assert a['geometry'] == b['geometry']
def test_gpd_to_values_warnings():
data = geojson2gdp(_create_geojson())
with pytest.warns(UserWarning, match="Column name 'type'"):
gpdvega.gpd_to_values(data.assign(type='type'))
with pytest.warns(UserWarning, match="Column name 'id'"):
gpdvega.gpd_to_values(data.assign(id='id'))
with pytest.warns(UserWarning, match="Column name 'geometry'"):
gpdvega.gpd_to_values(
data.rename(columns={
'geometry': 'g'
}).set_geometry('g').assign(geometry='xxx'))
def test_gpd_to_values_pd():
data = pd.DataFrame(pd.np.arange(3), columns=['param'])
assert gpdvega.gpd_to_values(data) == alt.to_values(data)