Best solution.
# Intuition\nBased on the basic pandas library.\n\n# Approach\nUse dropna to drop all null values in "name".\n\n# Complexity\nFaster than 97.90% according to leetcode.\n\n\n- Space complexity:\nBeats 84.48% of solutions.\n\n# Code\n```pythondata []\nimport pandas as pd\n\ndef dropMissingData(students: pd.DataFrame) -> pd.DataFrame:\n    return students.dropna(subset=["name"], inplace=False)\n```
['Pandas']