Merging bugs and typos

network/schemas/network_schemas.py

@@ -108,8 +108,8 @@
                 name='l',
                 description='limit (concerning node retrieval)',
                 required=False,
-                type=OpenApiTypes.STR,
-                location=OpenApiParameter.INT,
+                type=OpenApiTypes.INT,
+                location=OpenApiParameter.QUERY,
             ),
             OpenApiParameter(
                 name='s',

network/schemas/plotting_schemas.py

@@ -280,6 +280,73 @@
         }
     )
 
+get_density_plot_schema = extend_schema(
+        summary="Returns gaussian kde density values for the variable x grouped by c (optional) to produce a "
+                "Density Plot",
+        description="""Returns gaussian kde density values for the given variable x (e.g. bmi) in JSON format 
+            to produce a Density Plot. The optional parameter c (e.g. sex) allows for comparisons between different 
+            groups such as males and females and the optional parameter bandwidth allows adjusting the smoothness of 
+            the curves. If a sessionid and contextValue is provided, the data will be filtered by the respective 
+            context.
+            """,
+        parameters=[
+            OpenApiParameter(
+                name='csrftoken',
+                description='The CSRF token provided in the request header.',
+                required=True,
+                type=OpenApiTypes.STR,
+                location=OpenApiParameter.COOKIE,
+            ),
+            OpenApiParameter(
+                name="sessionid",
+                location=OpenApiParameter.COOKIE,
+                required=False,
+                description="Session cookie for authentication.",
+                type=OpenApiTypes.STR,
+            ),
+            OpenApiParameter(
+                name='contextValue',
+                description='The value of the context which specifies at which tab it is supposed to be shown.',
+                required=False,
+                type=OpenApiTypes.INT,
+                location=OpenApiParameter.QUERY,
+            ),
+            OpenApiParameter(
+                name='x',
+                description='variable x',
+                required=True,
+                type=OpenApiTypes.STR,
+                location=OpenApiParameter.QUERY,
+            ),
+            OpenApiParameter(
+                name='c',
+                description='colour variable',
+                required=False,
+                type=OpenApiTypes.STR,
+                location=OpenApiParameter.QUERY,
+            ),
+            OpenApiParameter(
+                name='bandwidth',
+                description='bandwidth is used to scale the standard deviation of the kernel, it expects a positive '
+                            'float while a higher number results in a smoother curve',
+                required=False,
+                type=OpenApiTypes.FLOAT,
+                location=OpenApiParameter.QUERY,
+            ),
+        ],
+        responses={
+            200: OpenApiResponse(
+                description="Data returned successfully",
+            ),
+            405: OpenApiResponse(
+                description="The data could not be returned, possible errors:\n"
+                            "- No appropriate context found\n"
+                            "- x is not valid\n"
+                            "- c is not valid"
+            )
+        }
+    )
+
 heatmap_schema = extend_schema(
         summary="Returns contingency table for the given variables x and y for plotting a Heatmap",
         description="""Returns contingency table for the given categorical variables x (e.g. sex) and y (e.g. desease 

network/views/plotting.py

@@ -337,6 +337,9 @@ def get(self, request):
 
         if x_idx not in density_plot_df.columns:
             return HttpResponseBadRequest('Variable x must be a valid variable of the data', status=405)
+        if pd.api.types.is_string_dtype(density_plot_df[x_idx]):
+            return HttpResponseBadRequest(
+                'x Variable is not numerical and can not be visualized in this plot.', status=405)
 
         min_val, max_val = np.min(density_plot_df[x_idx]), np.max(density_plot_df[x_idx])