Bringing it all together (2)

Wow, you've just generalized your Twitter language analysis that you did in the previous chapter to include a default argument for the column name. You're now going to generalize this function one step further by allowing the user to pass it a flexible argument, that is, in this case, as many column names as the user would like!

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.

This exercise is part of the course

Introduction to Functions in Python

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Exercise instructions

Complete the function header by supplying the parameter for the DataFrame df and the flexible argument *args.
Complete the for loop within the function definition so that the loop occurs over the tuple args.
Call count_entries() by passing the tweets_df DataFrame and the column name 'lang'. Assign the result to result1.
Call count_entries() by passing the tweets_df DataFrame and the column names 'lang' and 'source'. Assign the result to result2.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Define count_entries()
def ____(____, ____):
    """Return a dictionary with counts of
    occurrences as value for each key."""
    
    #Initialize an empty dictionary: cols_count
    cols_count = {}
    
    # Iterate over column names in args
    for col_name in ____:
    
        # Extract column from DataFrame: col
        col = df[col_name]
    
        # Iterate over the column in DataFrame
        for entry in col:
    
            # If entry is in cols_count, add 1
            if entry in cols_count.keys():
                cols_count[entry] += 1
    
            # Else add the entry to cols_count, set the value to 1
            else:
                cols_count[entry] = 1

    # Return the cols_count dictionary
    return cols_count

# Call count_entries(): result1
result1 = count_entries(____, ____)

# Call count_entries(): result2
result2 = count_entries(____, ____, ____)

# Print result1 and result2
print(result1)
print(result2)

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