Python, matplotlib.animation: Test showing changing values of Index Vs Stock

I am testing "matplotlib.animation" using the stock market index (NASDAQ in this case example) and the stock market price (Amazon in this case example)

# Parameter Adjustment

# Set Ticker Symbol

# e.g. Ticker="^GSPC" for S&P 500, Ticker="NDAQ" for NASDAQ, Ticker="TOPX" for TOPIX

Ticker_index="NDAQ" # Ticker sympol for the index

# Ticker="AMZN" for Amazon, Ticker="NTDOY" for NINTENDO

Ticker_stock="AMZN" # Ticker symbok for a stock

# Set the number of years to download data

No_Years_Data=1;

# Set the numbers of days for the future forecast

No_Days_FutureForecast=250*1

# For statistics

import random

import numpy as np

from scipy import stats

from scipy.stats import norm

# For plotting

import matplotlib.pyplot as plt

from matplotlib.animation import FuncAnimation

import matplotlib.animation as animation

from itertools import count

# Setting Plot Size

plt.rcParams["figure.figsize"] = (10,7)

# Calling stock values from Yahoo finance API

# Ref. https://www.kaggle.com/code/alessandrozanette/s-p500-analysis-using-yfinance-data

import yfinance as yf

%config InlineBackend.figure_format='retina'

import warnings

warnings.filterwarnings("ignore")

# Now, let's retrieve the data of the past x years using yfinance

Years="".join([str(No_Years_Data),'y']) # Set the number of years ! Adjust

Index = yf.Ticker(Ticker_index).history(period=Years)  # Ticker Symbokl ! Adjust !

Stock = yf.Ticker(Ticker_stock).history(period=Years)  # Ticker Symbokl ! Adjust !

# Let's take a look at the data

display(Index.tail())

display(Stock.tail())

# Change to list

# https://stackoverflow.com/questions/39597553/from-datetimeindex-to-list-of-times

Dates=Stock.index.tolist()

Dates=[Dates[t].strftime("%Y-%m-%d") for t in range(len(Dates))]

Values_Index=Index["Close"].tolist()

Values_Stock=Stock["Close"].tolist()

# Taking a difference of natural log of these values

y_1=np.diff(np.log(Index["Close"])).tolist()

y_2=np.diff(np.log(Stock["Close"])).tolist()

# Inline animations in Jupyter

# https://stackoverflow.com/questions/43445103/inline-animations-in-jupyter

plt.rcParams["animation.html"] = "jshtml"

plt.rcParams['figure.dpi'] = 150  

fig, ax = plt.subplots()

x_value = []

y1_value = []

y2_value = []

index = count();

Window=30

index = count();

def animate(t):

    n=next(index)

    x_value=Dates[n:n+Window].copy()

    y1_value=y_1[n:n+Window].copy()

    y2_value=y_2[n:n+Window].copy()

    ax.cla()

    ax.plot(x_value,y1_value, label=Ticker_index, color='slategrey')

    ax.plot(x_value,y2_value, label=Ticker_stock, color='darkseagreen')

    plt.legend(loc="upper right")

    plt.xticks(rotation=90)

    ax.set_xlim(0,Window)

animation.FuncAnimation(fig, animate, frames=Window, interval = 500)