How can I perform data cleansing in Python?
You can use libraries like Pandas and NumPy for data cleansing. What specific issues are you facing?
I have missing values in my dataset. How do I handle them?
You can use the fillna()
method to fill missing values or dropna()
to remove them. Which approach do you prefer?
I think filling them with the mean would be best. How do I do that?
You can use df['column_name'].fillna(df['column_name'].mean(), inplace=True)
to fill missing values with the mean.
Thanks! What about removing duplicates?
You can use the drop_duplicates()
method to remove duplicate rows from your DataFrame.
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