kabuka.py

from re import S
from turtle import st
import pandas as pd
import yfinance as yf
import altair as alt
import streamlit as st

st.title("米国株価可視化アプリ")


st.sidebar.write("""
# GAFA株価
こちらは株価可視化ツールです。以下のオプションから表示日数を指定できます。
""")

st.sidebar.write("""
## 表示日数選択
""")

days = st.sidebar.slider("日数",1,50,20)

st.write(
    f"""
    ### 過去**{days}日間**のGAFA株価
    """
)
@st.cache

def get_data(days,tickers):
    df = pd.DataFrame()
    for company in tickers.keys():
        tkr = yf.Ticker(tickers[company])
        hist = tkr.history(period = f'{days}d')
        hist.index = hist.index.strftime('%d %B %Y')
        hist = hist [['Close']]
        hist.columns = [company]
        hist = hist.T
        hist.index.name = 'Name'
        df = pd.concat([df,hist])
    return df
try:
    st.sidebar.write("""
    ## 株価の範囲指定
    """)

    ymin,ymax = st.sidebar.slider("範囲を指定してください",0.0,3500.0,(0.0,3500.0))
    tickers = {
        'apple': 'AAPL',
        'amazon':'AMZN',
        'google':'GOOGL',
        "microsoft":'MSFT',
        'netflix':'NFLX'
    }
    df = get_data(days,tickers)
    companies = st.multiselect(
        "会社名を選択してください。",
        list(df.index),
        ['google','amazon']
    )

    if not companies:
        st.error("少なくとも一社は選んでください")
    else:
        data = df.loc[companies]
        st.write("## 株価(USD)", data.sort_index())
        data = data.T.reset_index()
        data = pd.melt(data,id_vars = ["Date"]).rename(columns = {'value':'Stock Prices(USD)'})
        
        chart = (
            alt.Chart(data)
            .mark_line(opacity = 0.8,clip = True)
            .encode(
                x = "Date:T",
                y = alt.Y("Stock Prices(USD):Q",stack = None,scale = alt.Scale(domain = [ymin,ymax])),
                color = "Name:N")
            )

        st.altair_chart(chart,use_container_width = True)
except:
    st.error(
        "おっと何かエラーが起きているようです。"
    )