Adjust indentation

Author: ch-garcia

30_days_pandas/0183_customers_never_order.py

@@ -0,0 +1,76 @@
+"""
+183. Customers Who Never Order
+Solved
+Easy
+Topics
+Companies
+SQL Schema
+Pandas Schema
+
+Table: Customers
+
++-------------+---------+
+| Column Name | Type    |
++-------------+---------+
+| id          | int     |
+| name        | varchar |
++-------------+---------+
+id is the primary key (column with unique values) for this table.
+Each row of this table indicates the ID and name of a customer.
+
+Table: Orders
+
++-------------+------+
+| Column Name | Type |
++-------------+------+
+| id          | int  |
+| customerId  | int  |
++-------------+------+
+id is the primary key (column with unique values) for this table.
+customerId is a foreign key (reference columns) of the ID from the Customers table.
+Each row of this table indicates the ID of an order and the ID of the customer who ordered it.
+
+Write a solution to find all customers who never order anything.
+
+Return the result table in any order.
+
+The result format is in the following example.
+
+Example 1:
+
+Input: 
+Customers table:
++----+-------+
+| id | name  |
++----+-------+
+| 1  | Joe   |
+| 2  | Henry |
+| 3  | Sam   |
+| 4  | Max   |
++----+-------+
+Orders table:
++----+------------+
+| id | customerId |
++----+------------+
+| 1  | 3          |
+| 2  | 1          |
++----+------------+
+Output: 
++-----------+
+| Customers |
++-----------+
+| Henry     |
+| Max       |
++-----------+
+"""
+
+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    # get all possible customers and their orders
+    merged_df = customers.merge(orders, left_on = 'id', right_on = 'customerId', how = 'left')
+
+    # only keep those who were not in the 'orders' table and renaming the 'name' column
+    customers_df = merged_df[merged_df['customerId'].isnull()][['name']].rename(columns={'name': 'Customers'})
+
+    return customers_df

30_days_pandas/1757_recyclable_products.py

@@ -20,16 +20,12 @@
 low_fats is an ENUM (category) of type ('Y', 'N') where 'Y' means this product is low fat and 'N' means it is not.
 recyclable is an ENUM (category) of types ('Y', 'N') where 'Y' means this product is recyclable and 'N' means it is not.
 
- 
-
 Write a solution to find the ids of products that are both low fat and recyclable.
 
 Return the result table in any order.
 
 The result format is in the following example.
 
- 
-
 Example 1:
 
 Input: