Download pool/shard009/Python/0080383_datamos.py from Variable-role/sajaniemi_variable_dataset_large: direct link, hf CLI and curl.
- Browser
- Download file 1.03 kB
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https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/pool/shard009/Python/0080383_datamos.py
- Command line
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hf download hf://datasets/Variable-role/sajaniemi_variable_dataset_large/pool/shard009/Python/0080383_datamos.py
-
curl -L -o 0080383_datamos.py https://huggingface.co/datasets/Variable-role/sajaniemi_variable_dataset_large/resolve/main/pool/shard009/Python/0080383_datamos.py
1.03 kB
| # encoding: utf-8 | |
| import csv | |
| import sys | |
| try: | |
| with open('datamos_20161217.csv', 'r', encoding='cp1251') as f: | |
| # lines = csv.reader(f, delimiter=',', quotechar='"') | |
| # for row in lines: | |
| # print(row) | |
| lines = csv.DictReader(f, delimiter=';') | |
| streets = {} | |
| for line in lines: | |
| name = line['Street'] | |
| streets[name] = streets.get(name, 0) + 1 | |
| # Можно еще просто добавить в список и потом посчитать количество вхождений | |
| # функция Counter - https://docs.python.org/3.5/library/collections.html#collections.Counter | |
| streets_sorted = sorted(streets.items(), key=lambda x: x[1], reverse=True) | |
| print('Название улицы: {}, количество остановок: {}'.format(streets_sorted[0][0], streets_sorted[0][1])) | |
| except OSError as err: | |
| print("OS error: {0}".format(err)) | |
| except: | |
| print("Unexpected error:", sys.exc_info()[0]) | |
| raise | |