Fill Missing Values

Easy
pandas Netflix Airbnb

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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