Fill Missing Values
Easy
pandas
Netflix
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Given a list of dictionaries representing rows, fill any None values in the specified column with a given default value.
Example
data = [
{"name": "Alice", "score": 90},
{"name": "Bob", "score": None},
{"name": "Charlie", "score": 85}
]
fill_missing(data, "score", 0)
# => [{"name": "Alice", "score": 90}, {"name": "Bob", "score": 0}, {"name": "Charlie", "score": 85}]
Test Cases
Python Editor
Output
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