get_top_by_key_from_csv

dict_ex.csv

sql query example.txt

# SELECT problem, COUNT(*) FROM favorites GROUP BY problem ORDER BY COUNT(*) DESC;
# INSERT INTO favorites (language, problem) VALUES('SQL', 'bOOM');
# UPDATE favorites SET Timestamp = 'NONE' WHERE language = 'SQL' AND problem = 'bOOM';
# DELETE FROM favorites WHERE language = 'SQL' AND problem = 'bOOM';

top.py

# Sorts favorites by value using lambda function

import csv

# Open CSV file
with open("dict_ex.csv", "r") as file:

    # Create DictReader
    reader = csv.DictReader(file)

    # Counts
    counts = {}

    # Iterate over CSV file, counting favorites
    for row in reader:
        favorite = row["problem"]
        if favorite in counts:
            counts[favorite] += 1
        else:
            counts[favorite] = 1

# Print counts
for favorite in sorted(counts, key=lambda problem: counts[problem], reverse=True):
    print(f"{favorite}: {counts[favorite]}")