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September 2, 2020 05:25
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Save dataprofessor/dbd6976cf9b1bdb18eb1d0e2e055e2bf to your computer and use it in GitHub Desktop.
myapp2.py from "How to Build Your First Data Science Web App in Python" at https://www.youtube.com/watch?v=ZZ4B0QUHuNc
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| import yfinance as yf | |
| import streamlit as st | |
| st.write(""" | |
| # Simple Stock Price App | |
| Shown are the stock **closing price** and ***volume*** of Google! | |
| """) | |
| # https://towardsdatascience.com/how-to-get-stock-data-using-python-c0de1df17e75 | |
| #define the ticker symbol | |
| tickerSymbol = 'GOOGL' | |
| #get data on this ticker | |
| tickerData = yf.Ticker(tickerSymbol) | |
| #get the historical prices for this ticker | |
| tickerDf = tickerData.history(period='1d', start='2010-5-31', end='2020-5-31') | |
| # Open High Low Close Volume Dividends Stock Splits | |
| st.write(""" | |
| ## Closing Price | |
| """) | |
| st.line_chart(tickerDf.Close) | |
| st.write(""" | |
| ## Volume | |
| """) | |
| st.line_chart(tickerDf.Volume) |
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