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  3. Python Data Science Toolbox (Part 1)

Exercise

Bringing it all together (3)

In the previous exercise, you built on your function count_entries() to add a try-except block. This was so that users would get helpful messages when calling your count_entries() function and providing a column name that isn't in the DataFrame. In this exercise, you'll instead raise a ValueError in the case that the user provides a column name that isn't in the DataFrame.

Once again, for your convenience, pandas has been imported as pd and the 'tweets.csv' file has been imported into the DataFrame tweets_df. Parts of the code from your previous work are also provided.

Instructions

100 XP
  • If col_name is not a column in the DataFrame df, raise a ValueError 'The DataFrame does not have a ' + col_name + ' column.'.
  • Call your new function count_entries() to analyze the 'lang' column of tweets_df. Store the result in result1.
  • Print result1. This has been done for you, so hit 'Submit Answer' to check out the result. In the next exercise, you'll see that it raises the necessary ValueErrors.