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  3. Python Data Science Toolbox (Part 2)

Exercise

Using a list comprehension

This time, you're going to use the lists2dict() function you defined in the last exercise to turn a bunch of lists into a list of dictionaries with the help of a list comprehension.

The lists2dict() function has already been preloaded, together with a couple of lists, feature_names and row_lists. feature_names contains the header names of the World Bank dataset and row_lists is a list of lists, where each sublist is a list of actual values of a row from the dataset.

Your goal is to use a list comprehension to generate a list of dicts, where the keys are the header names and the values are the row entries.

Instructions

100 XP
  • Inspect the contents of row_lists by printing the first two lists in row_lists.
  • Create a list comprehension that generates a dictionary using lists2dict() for each sublist in row_lists. The keys are from the feature_names list and the values are the row entries in row_lists. Use sublist as your iterator variable and assign the resulting list of dictionaries to list_of_dicts.
  • Look at the first two dictionaries in list_of_dicts by printing them out.