Create pybites_21.py

thompsta · web-flow · commit 728fb19af3ff · 2020-02-24T12:05:47.000-08:00
diff --git a/days/07-09 datastructures/pybites_21.py b/days/07-09 datastructures/pybites_21.py
@@ -0,0 +1,49 @@
+'''Given the provided cars dictionary:
+
+Get all Jeeps
+Get the first car of every manufacturer.
+Get all vehicles containing the string Trail in their names (should work for other grep too)
+Sort the models (values) alphabetically
+'''
+
+cars = {
+    'Ford': ['Falcon', 'Focus', 'Festiva', 'Fairlane'],
+    'Holden': ['Commodore', 'Captiva', 'Barina', 'Trailblazer'],
+    'Nissan': ['Maxima', 'Pulsar', '350Z', 'Navara'],
+    'Honda': ['Civic', 'Accord', 'Odyssey', 'Jazz'],
+    'Jeep': ['Grand Cherokee', 'Cherokee', 'Trailhawk', 'Trackhawk']
+}
+
+
+def get_all_jeeps(cars=cars):
+    """return a comma  + space (', ') separated string of jeep models
+       (original order)"""
+    return str(', '.join(cars['Jeep']))
+
+
+def get_first_model_each_manufacturer(cars=cars):
+    """return a list of matching models (original ordering)"""
+    first_car = []
+    for k, v in cars.items():
+        first_car.append(v[0])
+    return first_car
+
+
+def get_all_matching_models(cars=cars, grep='trail'):
+    """return a list of all models containing the case insensitive
+       'grep' string which defaults to 'trail' for this exercise,
+       sort the resulting sequence alphabetically"""
+    matched = []
+    for v in cars.values():
+        for i in v:
+            if grep.lower() in i.lower():
+                matched.append(i)
+    return sorted(matched)
+
+
+def sort_car_models(cars=cars):
+    """return a copy of the cars dict with the car models (values)
+       sorted alphabetically"""
+    return {k:sorted(cars[k]) for k in cars.keys()}
+
+
