In Pandas, how can you filter the rows of a DataFrame where the value in a specific column is greater than a threshold?
- df.apply('column_name > threshold')
- df.filter('column_name > threshold')
- df.select('column_name').where('value > threshold')
- df[df['column_name'] > threshold]
To filter rows in a Pandas DataFrame where the value in a specific column is greater than a threshold, you can use boolean indexing. This is achieved by specifying the condition inside square brackets.
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