{"id":52821,"date":"2020-07-16T11:23:29","date_gmt":"2020-07-16T15:23:29","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=52821"},"modified":"2023-03-14T09:56:08","modified_gmt":"2023-03-14T13:56:08","slug":"python-itertools-tutorial-part-vi","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/python-itertools-tutorial-part-vi\/","title":{"rendered":"Python Itertools Tutorial \u2013 Part VI"},"content":{"rendered":"\n

Get up-to-speed in this series with<\/em>\u00a0Part I<\/a>,\u00a0Part II<\/a>,\u00a0\u00a0Part III<\/a>,\u00a0Part IV,<\/em> and Part V<\/a>.<\/em><\/p>\n\n\n\n

The combinations_with_replacement() iterator<\/strong><\/p>\n\n\n\n

If you had seen the output above, there were no stocks repeated in the combinations. This iterator takes care of that by listing the values repeated too.The Python code for this iterator is as follows:<\/p>\n\n\n\n

\n# Combinations_with_replacement itertool
\nstocks_NYSE = [‘TSLA’, ‘MSFT’, ‘NVDA’, ‘GOOGL’ , ‘AAPL’ , ‘INTC’]
\nresult = itertools.combinations_with_replacement(stocks_NYSE, 2)
\nfor each in result:
\n print(each)\n\n\n\n<\/p>\n\n\n\n

The output would is shown below:<\/p>\n\n\n\n

(‘TSLA’, ‘TSLA’)
(‘TSLA’, ‘MSFT’)
(‘TSLA’, ‘NVDA’)
(‘TSLA’, ‘GOOGL’)
(‘TSLA’, ‘AAPL’)
(‘TSLA’, ‘INTC’)
(‘MSFT’, ‘MSFT’)
(‘MSFT’, ‘NVDA’)
(‘MSFT’, ‘GOOGL’)
(‘MSFT’, ‘AAPL’)
(‘MSFT’, ‘INTC’)
(‘NVDA’, ‘NVDA’)
(‘NVDA’, ‘GOOGL’)
(‘NVDA’, ‘AAPL’)
(‘NVDA’, ‘INTC’)
(‘GOOGL’, ‘GOOGL’)
(‘GOOGL’, ‘AAPL’)
(‘GOOGL’, ‘INTC’)
(‘AAPL’, ‘AAPL’)
(‘AAPL’, ‘INTC’)
(‘INTC’, ‘INTC’)<\/p>\n\n\n\n

Well, these were the combinations, but what about the permutations? Let\u2019s check it out right now.<\/p>\n\n\n\n

The permutations() iterator<\/strong><\/p>\n\n\n\n

Recall that in permutations, the order does matter. Hence (‘TSLA’, ‘MSFT’) and (‘MSFT\u2019, ‘TSLA’) are entirely different in permutations. Having said that, let us see the python code for this iterator.<\/p>\n\n\n\n

\n# Permutations() itertool
\nstocks_NYSE = [‘TSLA’, ‘MSFT’, ‘NVDA’, ‘GOOGL’ , ‘AAPL’ , ‘INTC’]
\nresult = itertools.permutations(stocks_NYSE, 2)
\nfor each in result:
\n print(each)\n<\/p>\n\n\n\n

The output would be as follows:<\/p>\n\n\n\n

(‘TSLA’, ‘MSFT’)
(‘TSLA’, ‘NVDA’)
(‘TSLA’, ‘GOOGL’)
(‘TSLA’, ‘AAPL’)
(‘TSLA’, ‘INTC’)
(‘MSFT’, ‘TSLA’)
(‘MSFT’, ‘NVDA’)
(‘MSFT’, ‘GOOGL’)
(‘MSFT’, ‘AAPL’)
(‘MSFT’, ‘INTC’)
(‘NVDA’, ‘TSLA’)
(‘NVDA’, ‘MSFT’)
(‘NVDA’, ‘GOOGL’)
(‘NVDA’, ‘AAPL’)
(‘NVDA’, ‘INTC’)
(‘GOOGL’, ‘TSLA’)
(‘GOOGL’, ‘MSFT’)
(‘GOOGL’, ‘NVDA’)
(‘GOOGL’, ‘AAPL’)
(‘GOOGL’, ‘INTC’)
(‘AAPL’, ‘TSLA’)
(‘AAPL’, ‘MSFT’)
(‘AAPL’, ‘NVDA’)
(‘AAPL’, ‘GOOGL’)
(‘AAPL’, ‘INTC’)
(‘INTC’, ‘TSLA’)
(‘INTC’, ‘MSFT’)
(‘INTC’, ‘NVDA’)
(‘INTC’, ‘GOOGL’)
(‘INTC’, ‘AAPL’)<\/p>\n\n\n\n

Visit https:\/\/www.quantinsti.com\/<\/a> for ready-to-use Python functions as applied in trading and data analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"

Join QuantInsti for a tutorial on Python itertools as they serve to conveniently iterate items in a list. Learn more about combinations_with_replacement() and the permutations() iterator in this article.<\/p>\n","protected":false},"author":91,"featured_media":40540,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[339,343,349,338,350,341,344],"tags":[851,5615,8038,7934,7933,806,7935,7460,5614,852,1224,8039,595,6674],"contributors-categories":[13654],"class_list":["post-52821","post","type-post","status-publish","format-standard","has-post-thumbnail","category-data-science","category-programing-languages","category-python-development","category-ibkr-quant-news","category-quant-asia-pacific","category-quant-development","category-quant-regions","tag-algo-trading","tag-argument","tag-combinations_with_replacement-iterator","tag-combinations-iterator","tag-combinatoric-iterators","tag-data-science","tag-islice-iterator","tag-iterator","tag-lambda","tag-machine-learning","tag-pandas","tag-permutations-iterator","tag-python","tag-yfinance","contributors-categories-quantinsti"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"\nPython Itertools Tutorial \u2013 Part VI | IBKR Quant<\/title>\n<meta name=\"description\" content=\"Join QuantInsti for a tutorial on Python itertools as they serve to conveniently iterate items in a list. 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