根据提示，在右侧编辑器 Begin-End 区域补充代码，针对提供给疫情数据绘制出相应的热力图。具体要求如下： 设置热力单位区域尺寸为 (10, 5)； 正常显示中文； 设置配色样式为 "reds" 代码为：import pandas

```python import pandas as pd import seaborn as sns import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.read_csv("./data/Wuhan-2019-nCoV.csv") # 获取国家某时间点的疫情病例累计信息 def getDataByCountry(name,date): tem = df.loc[(df['date']==date)&(df['country']==name) & (df['province']!=df['province'])] if tem.empty: return None return tem.iloc[0] # 获取省级区域某时间点的疫情病例累计信息 def getDataByProvince(name,date): return df.loc[(df['date']==date)&(df['province']==name) & (df['city']!=df['city'])].iloc[0] # 获取城市某时间点的疫情病例累计信息 def getDataByCity(name,date): return df.loc[(df['date']==date)&(df['city']==name)].iloc[0] # 定义区域范围 HuBeiCitys = [ "武汉市","黄石市","十堰市","宜昌市","襄阳市","鄂州市","荆门市", "孝感市","荆州市","黄冈市","咸宁市","随州市","恩施土家族苗族自治州", "仙桃市","潜江市","天门市", ] # 定义时间范围,以一天作为步长，统计新增确诊病例数 HuBeiDates = [ '2020-01-31' ] for i in range(29): HuBeiDates.append("2020-02-{:02d}".format(i+1)) # 构建不同城市在时间范围内的累计确诊病例数的列表 HuBeiStore = {} for city in HuBeiCitys: HuBeiStore[city] = [getDataByCity(city,HuBeiDates[i])['confirmed'] for i