東京は温暖化しているのか

import requests
from bs4 import BeautifulSoup
import csv
import pandas as pd

def get_data(year, high_avg_list, row_avg_list):

    for month in range(1,13):

        add_str = "{0}{1:02d}00".format(year, month)
        url = "https://weather.goo.ne.jp/past/662/" + add_str
        r = requests.get(url)

        soup = BeautifulSoup(r.content, "html.parser")
        table_data = soup.find("table")

        high_data = 0
        count = 0
        for red_data in table_data.select(".red"):
            if red_data.text != '-':
                count = count + 1
                high_data = high_data + float(red_data.text)

        high_avg = round(high_data / count, 2)
        high_avg_list.append(high_avg)

        row_data = 0
        count = 0
        for blue_data in table_data.select(".blue"):
            if blue_data.text != '-':
                count = count + 1
                row_data = row_data + float(blue_data.text)

        row_avg = round(row_data / count, 2)
        row_avg_list.append(row_avg)

df_high = pd.DataFrame()
df_row = pd.DataFrame()

high_4 = [0,0,0,0,0,0,0,0,0,0,0,0]
row_4 = [0,0,0,0,0,0,0,0,0,0,0,0]

for year in range(1964,2022):
    print(year)
    high_avg_list = []
    row_avg_list = []
        
    get_data(year, high_avg_list, row_avg_list)

    high_4 = [x + y for (x, y) in zip(high_4, high_avg_list)]
    row_4 = [x + y for (x, y) in zip(row_4, row_avg_list)]

    if year % 4 == 3:
        df_high[year-3] = [round(n / 4, 2) for n in high_4]
        df_row[year-3] = [round(n / 4, 2) for n in row_4]
        high_4 = [0,0,0,0,0,0,0,0,0,0,0,0]
        row_4 = [0,0,0,0,0,0,0,0,0,0,0,0]

with pd.ExcelWriter('tokyo_weather.xlsx') as writer:
    df_high.to_excel(writer, sheet_name='high')
with pd.ExcelWriter('tokyo_weather.xlsx', mode='a') as writer:
    df_row.to_excel(writer, sheet_name='row')