How can I handle null values in a pandas DataFrame?
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How can I handle null values in a pandas DataFrame?
You can handle null values in a pandas DataFrame using methods like dropna() to remove them or fillna() to replace them.
What does dropna() do exactly?
The dropna() method removes any rows or columns that contain null values, depending on the parameters you set.
Can you give me an example of using fillna()?
Sure! You can use df.fillna(value) to replace all null values in the DataFrame with the specified value.
Is there a way to fill null values with the mean of the column?
Yes! You can use df.fillna(df.mean()) to replace null values with the mean of each column.
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