iteritems is deprecated and will be removed in a future version. Use .items instead. for col_name, dtype in df.dtypes.iteritems():というエラーメッセージについて

iteritems is deprecated and will be removed in a future version. Use .items instead.   for col_name, dtype in df.dtypes.iteritems():

!pip3 install yfinance

import pandas as pd
import matplotlib.pyplot as plt
import yfinance as yf

%matplotlib inline

aapl = yf.Ticker('AAPL')

days = 20
hist = aapl.history(period=f'{days}d')
hist

hist.reset_index()

hist_msft = yf.Ticker('MSFT').history(period=f'{days}d')
hist_msft.head()

pd.concat([hist, hist_msft], axis=1).head()

hist.head(3)


hist.index

hist.index = hist.index.strftime('%d %B %Y')

hist = hist[['Close']]
hist.columns = ['aaple']
hist.head()

hist = hist.T
hist

hist.index.name = 'Name'

    days = 20
    hist = yf.Ticker('META').history(period = f"{days}d")
    print(hist.index)
    hist.index = hist.index.strftime("%d %B %Y")

def get_data(days, tickers):
    df = pd.DataFrame()
    for company in tickers.keys():
    # company = 'facebook'
        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

days = 20
tickers = {
'apple': 'AAPL',
'facebook': 'META',
'google': 'GOOGL',
'microsoft': 'MSFT',
'netflix': 'NFLX',
'amazon': 'AMZN'
}

df = get_data(days, tickers)
df

aapl = yf.Ticker('AAPL')

aapl.info

aapl.actions.head()

aapl.dividends.plot()

!pip3 install altair

import altair as alt

df

companies = ['apple','facebook']
data = df.loc[companies]
data

data.sort_index()

data = data.T.reset_index()
data.head()

ata = pd.melt(data, id_vars=['Date']).rename(
    columns={'value': 'Stock Prices(USD)'}
)
data

data = pd.melt(data, id_vars=['Date']).rename(
    columns={'value': 'Stock Prices(USD)'}
)
data

ymin, ymax = 250, 300

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'
    )
)


chart