update code
This commit is contained in:
Carl Zh.
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@@ -28,51 +28,61 @@ def pythonx_lesson3():
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st.header(":three: Application Demo")
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# print text formatted by HTML
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# Display a styled title in HTML format
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st.markdown(
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"<h1 style='text-align:center; color:red;'> Sample Stock Price App. </h1>",
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unsafe_allow_html=True)
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st.write("Reference: [yfinance Package](https://aroussi.com/post/python-yahoo-finance)")
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# Brief description of the app's purpose
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st.subheader('Build an online application for tracing stock price history')
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st.write(
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'We will use the code learned from previous lecture to build an online application for tracing stock price'
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)
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# Display a subheading in Markdown
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st.header("Check Stock History")
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# print text in markdown
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st.markdown("## **Check Stock Information**")
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# Define a list of popular stock symbols
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stock_list = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
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# a list of stock names
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stock_names = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
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# select a stock to check
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target_stock = st.selectbox('Select a stock to check', options=stock_names)
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# Create a dropdown menu for selecting a stock
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stock_name = st.selectbox('Select a stock to check', options=stock_list)
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st.markdown("## **Check Stock Price History**")
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# start date of the stock infomation, default is the first day of year 2024
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# Input for selecting the start date of stock data, default is January 1, 2024
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start_date = st.date_input('Start Date', datetime(2024, 1, 1))
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# end date of the stock infomation, default is date of today
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# Input for selecting the end date of stock data, default is today
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end_date = st.date_input("End Date")
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# get today date
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# Store today's date for validation
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today = date.today()
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if st.button('Submit'):
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# check valid date
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if start_date > today or end_date > today:
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st.write("## **Please select a valid date period.**")
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else:
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# download the stock data based on stock name, start/end date
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data = yf.download(target_stock, start_date, end_date)
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# show a progress bar
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with st.spinner(text='In progress'):
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fig = px.line(data,
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x=data.index,
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y=['Open', 'High', 'Low', 'Close'],
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title=target_stock + " Stock Price",
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labels={
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"value": "Stock Price ($)",
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"variable": "Price Type"
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})
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st.write(fig)
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st.success('Done')
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# Action to retrieve stock data when the 'Submit' button is clicked
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if st.button('Submit'):
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# Check if selected dates are valid (not in the future)
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if (start_date > today) or (end_date > today) or (start_date > end_date):
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st.warning("Please select a valid date period.")
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else:
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# Get data for the selected stock
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stock = yf.Ticker(stock_name)
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# Retrieve historical data between selected dates
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stock_history = stock.history(start=start_date, end=end_date)
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st.write("**Raw Data of Stock Price**")
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# Display raw data of stock price
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st.dataframe(stock_history)
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# Plot stock price data (Open, High, Low, Close) using Plotly
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fig = px.line(stock_history,
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# use the index of the stock_history data as x-axis.
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x=stock_history.index,
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# plot data of columns ['Open', 'High', 'Low', 'Close']
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y=['Open', 'High', 'Low', 'Close'],
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title=stock_name + " Stock Price",
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labels={
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"value": "Stock Price ($)",
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"variable": "Price Type"
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})
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# Display the generated plot in the app
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st.write(fig)
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# Display a success message upon completion
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st.success('Done')
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source_code = """
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@@ -82,52 +92,61 @@ def pythonx_lesson3():
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import yfinance as yf
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import plotly.express as px
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# print text formatted by HTML
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# Display a styled title in HTML format
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st.markdown(
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"<h1 style='text-align:center; color:red;'> Sample Stock Price App. </h1>",
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unsafe_allow_html=True)
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st.write("Reference: [yfinance Package](https://aroussi.com/post/python-yahoo-finance)")
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# Brief description of the app's purpose
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st.subheader('Build an online application for tracing stock price history')
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st.write(
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'We will use the code learned from previous lecture to build an online application for tracing stock price'
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)
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# Display a subheading in Markdown
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st.header("Check Stock History")
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# print text in markdown
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st.markdown("## **Check Stock Information**")
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# Define a list of popular stock symbols
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stock_list = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
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# a list of stock names
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stock_names = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
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# select a stock to check
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target_stock = st.selectbox('Select a stock to check', options=stock_names)
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# Create a dropdown menu for selecting a stock
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stock_name = st.selectbox('Select a stock to check', options=stock_list)
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st.markdown("## **Check Stock Price History**")
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# start date of the stock infomation, default is the first day of year 2024
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# Input for selecting the start date of stock data, default is January 1, 2024
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start_date = st.date_input('Start Date', datetime(2024, 1, 1))
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# end date of the stock infomation, default is date of today
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# Input for selecting the end date of stock data, default is today
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end_date = st.date_input("End Date")
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# get today date
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# Store today's date for validation
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today = date.today()
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if st.button('Submit'):
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# check valid date
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if start_date > today or end_date > today:
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st.write("## **Please select a valid date period.**")
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else:
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# download the stock data based on stock name, start/end date
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data = yf.download(target_stock, start_date, end_date)
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# show a progress bar
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with st.spinner(text='In progress'):
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fig = px.line(data,
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x=data.index,
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y=['Open', 'High', 'Low', 'Close'],
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title=target_stock + " Stock Price",
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labels={
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"value": "Stock Price ($)",
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"variable": "Price Type"
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})
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st.write(fig)
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st.success('Done')
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# Action to retrieve stock data when the 'Submit' button is clicked
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if st.button('Submit'):
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# Check if selected dates are valid (not in the future)
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if (start_date > today) or (end_date > today) or (start_date > end_date):
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st.warning("Please select a valid date period.")
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else:
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# Get data for the selected stock
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stock = yf.Ticker(stock_name)
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# Retrieve historical data between selected dates
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stock_history = stock.history(start=start_date, end=end_date)
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st.write("**Raw Data of Stock Price**")
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# Display raw data of stock price
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st.dataframe(stock_history)
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# Plot stock price data (Open, High, Low, Close) using Plotly
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fig = px.line(stock_history,
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# use the index of the stock_history data as x-axis.
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x=stock_history.index,
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# plot data of columns ['Open', 'High', 'Low', 'Close']
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y=['Open', 'High', 'Low', 'Close'],
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title=stock_name + " Stock Price",
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labels={
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"value": "Stock Price ($)",
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"variable": "Price Type"
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})
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# Display the generated plot in the app
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st.write(fig)
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# Display a success message upon completion
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st.success('Done')
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"""
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