Update app.py

app.py

@@ -1,26 +1,25 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import plotly.graph_objs as go
-import plotly.express as ex
-import yfinance as yf
 import pandas as pd
+import yfinance as yf
 import pandas_ta
 import datetime as dt
-import streamlit as st
+
 start = dt.datetime(2021, 1, 1).strftime('%Y-%m-%d')
-end =  dt.date.today()
+end = dt.date.today()
 
-ticker='2408.TW'
+ticker = '2408.TW'
 
-df = yf.download(ticker, start = start, end = end)
+df = yf.download(ticker, start=start, end=end)
 
-df['stoch_k'] = pandas_ta.stochrsi(close=df['Adj Close'],length=20).iloc[:,0]
-df['stoch_d'] = pandas_ta.stochrsi(close=df['Adj Close'],length=20).iloc[:,1]
-df['bb_lower'] = pandas_ta.bbands(close=df['Adj Close'],length=20).iloc[:,0]
-df['bb_upper'] = pandas_ta.bbands(close=df['Adj Close'],length=20).iloc[:,2]
+df['stoch_k'] = pandas_ta.stochrsi(close=df['Adj Close'], length=20).iloc[:, 0]
+df['stoch_d'] = pandas_ta.stochrsi(close=df['Adj Close'], length=20).iloc[:, 1]
+df['bb_lower'] = pandas_ta.bbands(close=df['Adj Close'], length=20).iloc[:, 0]
+df['bb_upper'] = pandas_ta.bbands(close=df['Adj Close'], length=20).iloc[:, 2]
 df['forward_1d'] = df['Adj Close'].pct_change(1).shift(-1)
 
-fig=ex.line(df, x=df.index, y=['Adj Close','bb_lower','bb_upper'], title='南亞科技 (2408.TW) Adj Close with Bollinger Bands')
-fig.update_layout(title_text=f'南亞科技(2408.TW) Adj Close with Bollinger Bands', title_x=0.5)
+ax = df[['Adj Close', 'bb_lower', 'bb_upper']].plot(figsize=(12, 6), linewidth=1.5)
+ax.set_title('南亞科技 (2408.TW) Adj Close with Bollinger Bands')
+ax.set_xlabel('Date')
+ax.set_ylabel('Price')
+ax.legend(['Adj Close', 'Lower Bollinger Band', 'Upper Bollinger Band'])
 
-st.plotly_chart(fig, use_container_width=True)
+plt.show()