利用pandas读取多种格式数据
1，读取excel文件

df_excel = pd.read_excel(file_path, sheetname='Sheet1')
df_excel.info

2，读取csv(',')文件

df_csv = pd.read_csv(file_path)
df_csv.info

3，读取txt('\t')文件

df_txt = pd.read_csv(file_path,sep='\t',header=None,names=['a','b','c'])
#names给数据列命名

4，读取mysql数据库数据

import pymysql
conn = pymysql.connect(host='***',
                       user='***',
                       password='***',
                       db='***',
                       charset='utf8mb4')
df = pd.read_sql(sql,con=conn)

利用游标进行读取mysql数据

def fetch_data_db(sql):
    
    connection = pymysql.connect(host='***',
                                 user='***',
                                 password='***',
                                 db='***',
                                 charset='utf8mb4',
                                 port='***',
                                 cursorclass=pymysql.cursors.DictCursor,
                                 # 可以指定返回的类型，指定为queryset的字典类型，比较方便
                                 connect_timeout=86400)

    try:
        with connection.cursor() as cursor:
            # Read a single record
            print(sql + ' is running')
            cursor.execute(sql)
            result = cursor.fetchall()
            result = pd.DataFrame(result)
            
    except ValueError:
        print("Error: Oopus, No Data, Drink a coffee")
        return None

    finally:
        connection.close()
        print(sql + 'is obtained')
        
    return result