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The method for choosing certain rows based on criteria in pandas is called boolean indexing. It involves using boolean expressions to filter rows based on specific conditions.
For example, if we have a DataFrame called 'data' and we want to select all the rows where the 'age' column is greater than or equal to 30, we can use the following code:
data[data['age'] >= 30]
This will return a new DataFrame containing only the rows where the 'age' is greater than or equal to 30. Other conditions such as equality, inequality, and logical operators can also be used in boolean indexing.