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Author: ch-garcia

introduction-pandas/2883-drop-missing-data.py

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+"""
+2883. Drop Missing Data
+Solved
+Easy
+Companies
+Hint
+DataFrame students
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| student_id  | int    |
+| name        | object |
+| age         | int    |
++-------------+--------+
+There are some rows having missing values in the name column.
+
+Write a solution to remove the rows with missing values.
+
+The result format is in the following example.
+
+Example 1:
+
+Input:
++------------+---------+-----+
+| student_id | name    | age |
++------------+---------+-----+
+| 32         | Piper   | 5   |
+| 217        | None    | 19  |
+| 779        | Georgia | 20  |
+| 849        | Willow  | 14  |
++------------+---------+-----+
+Output:
++------------+---------+-----+
+| student_id | name    | age |
++------------+---------+-----+
+| 32         | Piper   | 5   |
+| 779        | Georgia | 20  | 
+| 849        | Willow  | 14  | 
++------------+---------+-----+
+Explanation: 
+Student with id 217 havs empty value in the name column, so it will be removed."
+"""
+
+import pandas as pd
+
+def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
+    return students.dropna(subset="name")