How can I handle missing data in a Pandas DataFrame?
An example of an AI chatbot conversation about handling missing data in Pandas.
How can I handle missing data in a Pandas DataFrame?
You can handle missing data in Pandas using methods like dropna(), fillna(), or interpolation. What do you need help with specifically?
What does dropna() do?
The dropna() method removes any rows or columns that contain missing values. You can specify the axis to drop from.
And how does fillna() work?
The fillna() method allows you to replace missing values with a specified value, like the mean or median of the column.
Can you show me an example of using fillna()?
Sure! If you have a DataFrame df, you can use df.fillna(value=0) to replace all missing values with 0.
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