def test_valerror_on_nongdf_value_str(self):
test_geodataframe = test_str
expected_message = "Function argument should be of type geopandas.GeoDataFrame. Got {} ".format(type(test_geodataframe))
with pytest.raises(ValueError) as exception_info:
functions.has_geometry(test_geodataframe)
error_message = "Expected the following message: {}. Got the following: {}".format(expected_message, exception_info)
assert exception_info.match(expected_message), error_message
def plot_nearest_neighbor_analysis(nn_analysis_gdf, link_gseries):
valerror_text = "Argument nn_analysis_gdf should be of type geopandas.GeoDataFrame. Got {} ".format(type(nn_analysis_gdf))
if functions_analysis.is_gdf(nn_analysis_gdf) is False:
raise ValueError(valerror_text)
attriberror_text = "Argument provided does not have geometry information."
if functions_analysis.has_geometry(nn_analysis_gdf) is False:
raise AttributeError(attriberror_text)
attriberror_text = "nn_analysis_gdf object is missing crs information."
if functions_analysis.has_crs(nn_analysis_gdf) is False:
raise AttributeError(attriberror_text)
fig = plt.figure(figsize = (10,10))
ax_1 = fig.add_subplot(1,1,1)
for spine in ax_1.spines:
ax_1.spines[spine].set_visible(False)
ax_1.xaxis.set_visible(False)
ax_1.yaxis.set_visible(False)
color_3 = "#1CB2FE"
color_4 = "#F68C69"
color_5 = "#1A1C1A"
fig.set_facecolor(color_5)
ax_1.set_facecolor(color_5)
nn_analysis_gdf["links"] = link_gseries
nn_analysis_gdf.set_geometry("links", inplace = True)
nn_analysis_gdf.plot(ax = ax_1,
color = "white",
alpha = 1,
lw=1)
nn_analysis_gdf.set_geometry("point_of_origin", inplace = True)
nn_analysis_gdf["point_of_origin"].plot(ax = ax_1,
color = color_3,
alpha = 1,
zorder = 2,
markersize = 70,
marker = "o",
edgecolor = "white")
nn_analysis_gdf.set_geometry("nearest_point", inplace = True)
nn_analysis_gdf["nearest_point"].plot(ax = ax_1,
color = color_4,
zorder = 3,
alpha = 1,
markersize = 70,
marker = "^",
edgecolor = "white")
plt.tight_layout()
return fig
def create_link_between_origin_and_nearest_geom(nn_analysis_gdf):
valerror_text = "Argument nn_analysis_gdf should be of type geopandas.GeoDataFrame. Got {} ".format(type(nn_analysis_gdf))
if functions_analysis.is_gdf(nn_analysis_gdf) is False:
raise ValueError(valerror_text)
attriberror_text = "Argument provided does not have geometry information."
if functions_analysis.has_geometry(nn_analysis_gdf) is False:
raise AttributeError(attriberror_text)
attriberror_text = "nn_analysis_gdf object is missing crs information."
if functions_analysis.has_crs(nn_analysis_gdf) is False:
raise AttributeError(attriberror_text)
links = [LineString([p1,p2]) for p1, p2 in nn_analysis_gdf.loc[:,["point_of_origin","nearest_point"]].values]
links_gseries = gpd.GeoSeries(links,
crs = nn_analysis_gdf.crs)
return links_gseries
def confirm_nearest_neighbor_analysis(nn_analysis_gdf, save_figure = False):
valerror_text = "Argument nn_analysis_gdf should be of type geopandas.GeoDataFrame. Got {} ".format(type(nn_analysis_gdf))
if functions_analysis.is_gdf(nn_analysis_gdf) is False:
raise ValueError(valerror_text)
attriberror_text = "Argument provided does not have geometry information."
if functions_analysis.has_geometry(nn_analysis_gdf) is False:
raise AttributeError(attriberror_text)
fig = plot_nearest_neighbor_analysis(nn_analysis_gdf,
create_link_between_origin_and_nearest_geom(nn_analysis_gdf))
if save_figure == True:
fig.savefig("nearest_neighbor_analysis_confirmation.png",
dpi = 1200,
bbox_inches='tight',
pad_inches = 0)
return fig
def test_true_on_geometry(self):
test_geodataframe = test_gdf
expected = True
actual = functions.has_geometry(test_geodataframe)
error_message = "Expected function to return {}, function returned {}".format(expected, actual)
assert expected is actual, error_message