From 5595571596f6fedac2d7f81a3608de277a322e11 Mon Sep 17 00:00:00 2001
From: "Carl Zh." <czhang@wtamu.edu>
Date: Tue, 5 Nov 2024 11:40:32 -0600
Subject: [PATCH] update code

---
 .../pythonx_lesson3.cpython-312.pyc           | Bin 6361 -> 7146 bytes
 .../pythonx_lessons_pages/pythonx_lesson3.py  | 153 ++++++++++--------
 2 files changed, 86 insertions(+), 67 deletions(-)

diff --git a/webpages/pythonx_lessons_pages/__pycache__/pythonx_lesson3.cpython-312.pyc b/webpages/pythonx_lessons_pages/__pycache__/pythonx_lesson3.cpython-312.pyc
index 9d127dcd175d6a156b6a52665271d1bd70912feb..4957797e17eb958b8a153a79ce8d243961d0f64c 100644
GIT binary patch
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diff --git a/webpages/pythonx_lessons_pages/pythonx_lesson3.py b/webpages/pythonx_lessons_pages/pythonx_lesson3.py
index 6aac0e814..bdbaff617 100644
--- a/webpages/pythonx_lessons_pages/pythonx_lesson3.py
+++ b/webpages/pythonx_lessons_pages/pythonx_lesson3.py
@@ -28,51 +28,61 @@ def pythonx_lesson3():
     
     st.header(":three: Application Demo")
     # print text formatted by HTML
+        
+    # Display a styled title in HTML format
     st.markdown(
         "<h1 style='text-align:center; color:red;'> Sample Stock Price App. </h1>",
         unsafe_allow_html=True)
+    st.write("Reference: [yfinance Package](https://aroussi.com/post/python-yahoo-finance)")
+    # Brief description of the app's purpose
+    st.subheader('Build an online application for tracing stock price history')
 
-    st.write(
-        'We will use the code learned from previous lecture to build an online application for tracing stock price'
-    )
+    # Display a subheading in Markdown
+    st.header("Check Stock History")
 
-    # print text in markdown
-    st.markdown("## **Check Stock Information**")
+    # Define a list of popular stock symbols
+    stock_list = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
 
-    # a list of stock names
-    stock_names = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
-    # select a stock to check
-    target_stock = st.selectbox('Select a stock to check', options=stock_names)
+    # Create a dropdown menu for selecting a stock
+    stock_name = st.selectbox('Select a stock to check', options=stock_list)
 
-    st.markdown("## **Check Stock Price History**")
-
-    # start date of the stock infomation, default is the first day of year 2024
+    # Input for selecting the start date of stock data, default is January 1, 2024
     start_date = st.date_input('Start Date', datetime(2024, 1, 1))
-    # end date of the stock infomation, default is date of today
+    # Input for selecting the end date of stock data, default is today
     end_date = st.date_input("End Date")
 
-    # get today date
+    # Store today's date for validation
     today = date.today()
-    if st.button('Submit'):
-        # check valid date
-        if start_date > today or end_date > today:
-            st.write("## **Please select a valid date period.**")
-        else:
-            # download the stock data based on stock name, start/end date
-            data = yf.download(target_stock, start_date, end_date)
-            # show a progress bar
-            with st.spinner(text='In progress'):
 
-                fig = px.line(data,
-                            x=data.index,
-                            y=['Open', 'High', 'Low', 'Close'],
-                            title=target_stock + " Stock Price",
-                            labels={
-                                "value": "Stock Price ($)",
-                                "variable": "Price Type"
-                            })
-                st.write(fig)
-                st.success('Done')
+    # Action to retrieve stock data when the 'Submit' button is clicked
+    if st.button('Submit'):
+        # Check if selected dates are valid (not in the future)
+        if (start_date > today) or (end_date > today) or (start_date > end_date):
+            st.warning("Please select a valid date period.")
+        else:
+            # Get data for the selected stock
+            stock = yf.Ticker(stock_name)
+            # Retrieve historical data between selected dates
+            stock_history = stock.history(start=start_date, end=end_date)
+            st.write("**Raw Data of Stock Price**")
+            # Display raw data of stock price
+            st.dataframe(stock_history)
+            # Plot stock price data (Open, High, Low, Close) using Plotly
+            fig = px.line(stock_history,
+                        # use the index of the stock_history data as x-axis.
+                        x=stock_history.index, 
+                        # plot data of columns ['Open', 'High', 'Low', 'Close']
+                        y=['Open', 'High', 'Low', 'Close'],
+                        title=stock_name + " Stock Price",
+                        labels={
+                            "value": "Stock Price ($)",
+                            "variable": "Price Type"
+                        })
+            # Display the generated plot in the app
+            st.write(fig)
+            # Display a success message upon completion
+            st.success('Done')
+
 
 
     source_code = """
@@ -82,52 +92,61 @@ def pythonx_lesson3():
     import yfinance as yf
     import plotly.express as px
     
-    # print text formatted by HTML
+        
+    # Display a styled title in HTML format
     st.markdown(
         "<h1 style='text-align:center; color:red;'> Sample Stock Price App. </h1>",
         unsafe_allow_html=True)
+    st.write("Reference: [yfinance Package](https://aroussi.com/post/python-yahoo-finance)")
+    # Brief description of the app's purpose
+    st.subheader('Build an online application for tracing stock price history')
 
-    st.write(
-        'We will use the code learned from previous lecture to build an online application for tracing stock price'
-    )
+    # Display a subheading in Markdown
+    st.header("Check Stock History")
 
-    # print text in markdown
-    st.markdown("## **Check Stock Information**")
+    # Define a list of popular stock symbols
+    stock_list = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
 
-    # a list of stock names
-    stock_names = ['MSFT', 'AAPL', 'AMZN', 'GOOGL']
-    # select a stock to check
-    target_stock = st.selectbox('Select a stock to check', options=stock_names)
+    # Create a dropdown menu for selecting a stock
+    stock_name = st.selectbox('Select a stock to check', options=stock_list)
 
-    st.markdown("## **Check Stock Price History**")
-
-    # start date of the stock infomation, default is the first day of year 2024
+    # Input for selecting the start date of stock data, default is January 1, 2024
     start_date = st.date_input('Start Date', datetime(2024, 1, 1))
-    # end date of the stock infomation, default is date of today
+    # Input for selecting the end date of stock data, default is today
     end_date = st.date_input("End Date")
 
-    # get today date
+    # Store today's date for validation
     today = date.today()
-    if st.button('Submit'):
-        # check valid date
-        if start_date > today or end_date > today:
-            st.write("## **Please select a valid date period.**")
-        else:
-            # download the stock data based on stock name, start/end date
-            data = yf.download(target_stock, start_date, end_date)
-            # show a progress bar
-            with st.spinner(text='In progress'):
 
-                fig = px.line(data,
-                            x=data.index,
-                            y=['Open', 'High', 'Low', 'Close'],
-                            title=target_stock + " Stock Price",
-                            labels={
-                                "value": "Stock Price ($)",
-                                "variable": "Price Type"
-                            })
-                st.write(fig)
-                st.success('Done')
+    # Action to retrieve stock data when the 'Submit' button is clicked
+    if st.button('Submit'):
+        # Check if selected dates are valid (not in the future)
+        if (start_date > today) or (end_date > today) or (start_date > end_date):
+            st.warning("Please select a valid date period.")
+        else:
+            # Get data for the selected stock
+            stock = yf.Ticker(stock_name)
+            # Retrieve historical data between selected dates
+            stock_history = stock.history(start=start_date, end=end_date)
+            st.write("**Raw Data of Stock Price**")
+            # Display raw data of stock price
+            st.dataframe(stock_history)
+            # Plot stock price data (Open, High, Low, Close) using Plotly
+            fig = px.line(stock_history,
+                        # use the index of the stock_history data as x-axis.
+                        x=stock_history.index, 
+                        # plot data of columns ['Open', 'High', 'Low', 'Close']
+                        y=['Open', 'High', 'Low', 'Close'],
+                        title=stock_name + " Stock Price",
+                        labels={
+                            "value": "Stock Price ($)",
+                            "variable": "Price Type"
+                        })
+            # Display the generated plot in the app
+            st.write(fig)
+            # Display a success message upon completion
+            st.success('Done')
+
 
         
     """