2883. Drop Missing Data
IntuitionApproachComplexity
Time complexity:

Space complexity:
Code
# Intuition
<!-- Describe your first thoughts on how to solve this problem. -->

# Approach
<!-- Describe your approach to solving the problem. -->

# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->

- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->

# Code
```pythondata []
import pandas as pd

def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    return students.dropna(subset=["name"])

students = pd.DataFrame([
    [32, "Piper", 5],
    [217, None, 19],
    [779, "Georgia", 20],
    [849, "Willow", 14]
], columns=["student_id", "name", "age"])

print(dropMissingData(students))

```
['Pandas']