You are analyzing a dataset in Pandas with missing values. Which method would you use to impute these missing values based on other columns?
- dropna()
- fillna()
- interpolate()
- mean()
The interpolate() method in Pandas is commonly used to impute missing values based on other columns. It fills in the missing values by interpolating between existing values, which can be useful in scenarios where the missing values have a logical relationship with other columns.
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