Picking a subset - three ways to filter

In the Using stacked generator expressions recipe, we wrote a generator function that excluded some rows from a set of data. We defined a function like this:

    def skip_header_date(rows): 
        for row in rows: 
            if row[0] == 'date': 
                continue 
            yield row 

When the condition is true—row[0] is date—the continue statement will skip the rest of the statements in the body of the for statement. In this case, there's only a single statement, yield row.

There are two conditions:

• row[0] == 'date': The yield statement is skipped; the row is rejected from further processing

• row[0] != 'date': The yield statement means that the row will be passed on to the function or statement that's consuming the data

At four lines of code, this seems long-winded. The for...if...yield pattern is clearly boilerplate, and only the condition is really material in this kind of construct.

Can we express this more succinctly...