Pandas: Removing a row in which none is contained
IntuitionThe unknown of how none is actually stored is tackled in this problem wether that be by a string or by a just pandas formatting when nothing is present
# Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
The unknown of how none is actually stored is tackled in this problem wether that be by a string or by a just pandas formatting when nothing is present.
# 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
#missing values in the name column
def dropMissingData(students: pd.DataFrame) -> pd.DataFrame:
    return students[(students["name"] != "None") & students["name"].notna()]
 
```
['Pandas']