HW#3: Using comprehensions to analyse group

group.py

@@ -2,4 +2,47 @@
 
 # Your code to go here...
 
-my_group =
+group = {
+    "Jill": {
+        "age": 26,
+        "job": "biologist",
+        "relations": {
+            "Zalika": "friend",
+            "John": "partner"
+        }
+    },
+    "Zalika": {
+        "age": 28,
+        "job": "artist",
+        "relations": {
+            "Jill": "friend"
+        }
+    },
+    "John": {
+        "age": 27,
+        "job": "writer",
+        "relations": {
+            "Jill": "partner"
+        }
+    },
+    "Nash": {
+        "age": 34,
+        "job": "chef",
+        "relations": {
+            "John": "cousin",
+            "Zalika": "landlord"
+        }
+    }
+}
+
+import numpy as np
+
+max_age = max([group[person]["age"] for person in group])
+mean_relations = np.average([len(group[person]["relations"]) for person in group])
+max_age_min_one_relation = max([group[person]["age"] for person in group if len(group[person]["relations"]) >= 1])
+max_age_min_one_friend = max([group[person]["age"] for person in group if "friend" in list(group[person]["relations"].values())])
+
+print("The maximum age of people in the group is " + str(max_age))
+print("The mean number of relations is " + str(mean_relations))
+print("The maximum age of people with at least one relation is " + str(max_age_min_one_relation))
+print("The maximum age of people with at least one friend is " + str(max_age_min_one_friend))