How can I handle missing data in Python?
An example of an AI chatbot conversation about handling missing data in Python.
How can I handle missing data in Python?
You can handle missing data in Python using libraries like Pandas. Would you like to see some examples?
Yes, please show me how to fill missing values.
You can use the fillna() method in Pandas. For example, df['column'].fillna(value) replaces missing values with the specified value.
What if I want to drop rows with missing data?
You can use the dropna() method. For instance, df.dropna() will remove any rows with missing values.
Are there any other methods to handle missing data?
Yes, you can also use interpolation or imputation techniques to estimate missing values. Would you like to learn more about those?
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