新冠病毒數據分析(2)----JSON格式數據寫入CSV文件

1、原始數據

網上直接獲取的JSON格式文件

 

2、json文件讀取

 

def read_data(path):

    data=pd.read_json(path)

    return data

 

返回dataframe格式

 

3、生成文件

生成country.csv文件，並寫入列名

 

with open('country.csv', 'a+',newline='') as csvfile:

        fieldnames = ['country', 'confirmed','deaths','recovered','date']

        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

        writer.writeheader()

 

4、寫入數據

for country in data1.columns:

            for i in range(0, len(data1[country].index)):        

                writer.writerow({"country": country, "confirmed": int(data1[country][i]['confirmed']),"deaths":int(data1[country][i]['deaths']),\

                         "recovered":int(data1[country][i]['recovered']),"date":data1[country][i]['date']})

 

country代表"國家名"、data1[country][i]['confirmed']代表當天確診病例、data1[country][i]['deaths']代表當天死亡病例、data1[country][i]['recovered'],代表當天治愈病例、 data1[country][i]['date']代表當天日期。

 

存儲每個國家每日確診、死亡和治愈病例