![]() ![]() John Lewis International – if you’re based outside the UK and order from us, you will be trading with John Lewis International.Waitrose Ltd – including myWaitrose loyalty, Waitrose Groceries, Waitrose Pet, Waitrose Garden, Waitrose Florist, Waitrose Cellar, Waitrose Gifts, Cook Well from Waitrose, Waitrose Cookery School, Leckford Estate (The Waitrose Farm).You can find out more about how John Lewis Finance handles your personal data in section 14. John Lewis plc – including John Lewis Finance (provided by selected partners), John Lewis The Gift List, Home Solutions, my John Lewis loyalty, Joint Loyalty and John Lewis for Business.The John Lewis Partnership – which we’ll refer to as ‘the Partnership’ in this document – is made up of a number of related businesses: John Lewis is a UK based company and therefore, when visiting our website, personal data that we may collect through cookies or online forms will leave the EU for the UK. When you are using the John Lewis websites, John Lewis Plc is the data controller. We’ll notify you of any significant changes via email, but you’re welcome to come back and check it whenever you wish. It’s likely that we’ll need to update this Privacy Notice from time to time. We hope the following sections will answer any questions you have but if not, please do get in touch with us. We know that there’s a lot of information here but we want you to be fully informed about your rights, and how the John Lewis Partnership uses your data.įor example, we will explain things such as our credit checking procedure and how we combine data across the John Lewis Partnership to build a picture of you. It also explains how we’ll store and handle that data, and keep it safe. Please drop me an note with any feedback you have.This Privacy Notice explains in detail the types of personal data we may collect about you when you interact with us. You should refer to Yahoo!'s terms of useĭetailes on your rights to use the actual data downloaded. Intended for research and educational purposes. It'sĪn open-source tool that uses Yahoo's publicly available APIs, and is ![]() The LICENSE.txt file in the release for details.ĪGAIN - yfinance is not affiliated, endorsed, or vetted by Yahoo, Inc. Yfinance is distributed under the Apache Software License. Yfinance relies on community to investigate bugs and contribute code. Optional (if you want to use pandas_datareader) $ pip install yfinance -upgrade -no-cache-dir -pre Same format as pandas_datareader's get_data_yahoo(). Method to use yfinance while making sure the returned data is in the If your code uses pandas_datareader and you want to download dataįaster, you can "hijack" pandas_data_yahoo() How to download single or multiple tickers into a singleĭataframe with single level column names and a ticker column.How to correctly read the the multi-level columns after.Names, with a level for the ticker and a level for the stock price yfinance returns a pandas.DataFrame with multi-level column.The following answer on Stack Overflow is for How to deal with SECOND * 5), # max 2 requests per 5 seconds bucket_class = MemoryQueueBucket,īackend = SQLiteCache( "yfinance.cache"), Limiter = Limiter( RequestRate( 2, Duration. If you want to use a proxy server for downloading data, use:įrom requests import Session from requests_cache import CacheMixin, SQLiteCache from requests_ratelimiter import LimiterMixin, MemoryQueueBucket from pyrate_limiter import Duration, RequestRate, Limiter class CachedLimiterSession( CacheMixin, LimiterMixin, Session): # data available via: opt.calls, opt.puts news # get option chain for specific expiration opt = msft. earnings_dates # show ISIN code - *experimental* # ISIN = International Securities Identification Number msft. # Note: If more are needed use msft.get_earnings_dates(limit=XX) with increased limit argument. mutualfund_holders # Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default. quarterly_cashflow # see `Ticker.get_income_stmt()` for more options # show holders msft. quarterly_balance_sheet # - cash flow statement msft. quarterly_income_stmt # - balance sheet msft. # show financials: # - income statement msft. capital_gains # only for mutual funds & etfs # show share count msft. history_metadata # show actions (dividends, splits, capital gains) msft. # show meta information about the history (requires history() to be called first) msft. info # get historical market data hist = msft. ![]()
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