use Series.nlargest

don't use lamda

The oces-ed-attainsent. csv file has columns for rear, 5ex, Min degrer, and race/ethnicity categories. Note the miswing data: not all columns have data starting from 1920! Pandas: What were the 2 most commonly-awarded levels of educational attainment awarded between 2000-2010 (inclusive) for a given sex? Task: Write a function that takes two arguments, the data and a sex parameter, and computes the two most commonly earned degrees for that given sex between the years 2000 and 2010 (inclusive). sex should have a default value of ' A ' if it is not specified. The function should return a 2-element Series. Compare educational attainment levels by using the . The index of the returned Series should be the Min degree and the values should be its mean. The sex parameter should default to if no parameter is specified. For example, will return the following with index on the left and value on the right. Your values don't have to exactly match so long as they're within a 0.001 tolerance due to how Python represents numbers. Because sex is set to default to, this means a call to should also return the same Series