A common task in data cleaning is managing "NaN" (Not a number) values. Which…
2026
A common task in data cleaning is managing "NaN" (Not a number) values. Which Pandas function allows you to replace all missing values in a DataFrame with a specific value, such as 0?
Answer: C. df.fillna()
- A.
df.dropna()
- B.
df.isna()
- C.
df.fillna()
- D.
df.replace_nan()
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Correct answer: C
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