Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. The Ticker module, which allows you to access ticker data in a more Pythonic way: Yfinance aimes to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance. Note: yahoo finance datetimes are received as UTC. Msft.option_chain(., proxy='PROXY_SERVER') Msft.get_balance_sheet(proxy='PROXY_SERVER') If you want to use a proxy server for downloading data, use: import yfinance as yf # data available via: opt.calls, opt.puts # get option chain for specific expiration # ISIN = International Securities Identification Number (period='1mo')įetching data for multiple tickers import yfinance as yfĭata = yf.download('SPY AAPL', start='', end='') # ^ returns a named tuple of Ticker objects To initialize multiple Ticker objects, use import yfinance as yf # The scraped response will be stored in the cache Ticker = yf.Ticker('msft aapl goog', session=session) Session = requests_cache.CachedSession('yfinance.cache') To use a custom requests session (for example to cache calls to the API or customize the User-agent header), pass a session= argument to the Ticker constructor. Now run the ffmpeg command to convert MP4 video file format to MKV: ffmpeg -i test.mp4 out.I've also added some options to make life easier :) data = yf.download( # or pdr.get_data_yahoo(. We can also check what encoders and decoders are available: ffmpeg -encodersįor testing, download sample video file from the Internet: wget -O test.mp4 When installation is finished, we can check version of FFmpeg: ffmpeg -version Execute the following commands to update the package lists and install FFmpeg: sudo apt update Install FFmpegĬonnect to Raspberry Pi via SSH. This tutorial shows how to install FFmpeg on Raspberry Pi. It allows to convert video and audio files from one format into another, resize videos, stream audio and video, and perform various other actions with media files. YouTube-8M Feature Extraction and Model Inference.AutoFlip (Saliency-aware Video Cropping).KNIFT (Template-based Feature Matching). opencvlinux.BUILD for OpenCV 4 installed from Debian package This site uses Just the Docs, a documentation theme for Jekyll. FFmpeg is an open-source collection of tools for processing video and audio files. Installing opencv with pip ffmpeg python.

Install ffmpeg python