PANDAS || Solution of drop missing data problem
Definition and Usage\n- The dropna() method removes the rows that contains NULL values.\n- The dropna() method returns a new DataFrame object unless the inplace
# Definition and Usage\n- The `dropna()` method removes the rows that contains NULL values.\n- The `dropna()` method returns a new DataFrame object unless the inplace parameter is set to True, in that case the `dropna()` method does the removing in the original DataFrame instead.\n# Parameters\n- The axis, how, thresh, subset, inplace, parameters are keyword arguments.\n#  Return Value\n- A DataFrame with the result, or None if the inplace parameter is set to True.\n# Complexity\n- Time complexity: $$O(n)$$\n\n- Space complexity: $$O(n)$$\n\n# Code \n```\nimport pandas as pd\n\ndef dropMissingData(students: pd.DataFrame) -> pd.DataFrame:\n    students.dropna(subset=[\'name\'], inplace=True)\n    return students\n```
['Database', 'Pandas']