How can I use Pandas for data cleaning?

How can I use Pandas for data cleaning?

You can use Pandas to handle missing values, remove duplicates, and format data types. What specific cleaning tasks do you need help with?

I have a dataset with missing values. How do I handle those?

You can use the fillna() method to fill missing values or dropna() to remove rows with missing data. Would you like examples?

Yes, please provide an example of using fillna.

Sure! You can use df['column_name'].fillna(value) to replace missing values in a specific column. For instance, df['age'].fillna(0) replaces missing ages with 0.

What about removing duplicates?

You can use the drop_duplicates() method. For example, df.drop_duplicates() will remove duplicate rows from your DataFrame.