使用Python将特定MySQL数据从表导出到Excel

我是mysql连接器python的新手。我正在学习如何使用Python来让我的工作变得简单一些。你能帮忙吗

我有一个带有一个表的数据库。我们称它为“table1”。该表按如下列进行分解：

发送时间|发送时间| id1 |激活| id2 |激活| id3 |激活| id1 |非激活| id2 |非激活|位置|非激活

更多

假设这是两个或两个以上的客户相互之间传递商品。每个客户都有三个id

现在我想看看我是否能至少打印出所有的id1_active和id2_active…理想情况下，我想用任何列中提到的特定id打印整行…你能看看下面，看看我做错了什么，也许能帮我找到一个理想目标的解决方案吗

我一直在犯这个错误

第18行，在 c、 writerow（[id1\u活动，id2\u活动]）

TypeError:“str”不支持缓冲区接口

这就是我到目前为止所拥有的

我创建了一个“config.ini”文件，让我的生活更轻松

[mysql]
host = localhost
database = db_name
user = root
password = blahblah

我创建了一个“python\u mysql\u dbconfig.py”

from configparser import ConfigParser

def read_db_config(filename=’config.ini’, section=’mysql’):
“”” Read database configuration file and return a dictionary object
:param filename: name of the configuration file
:param section: section of database configuration
:return: a dictionary of database parameters
“””
# create parser and read ini configuration file
parser = ConfigParser()
parser.read(filename)

# get section, default to mysql
db = {}
if parser.has_section(section):
items = parser.items(section)
for item in items:
db[item[0]] = item[1]
else:
raise Exception(‘{0} not found in the {1} file’.format(section, filename))

return db

然后我创建了“export.py”

from mysql.connector import MySQLConnection, Error
from python_mysql_dbconfig import read_db_config
import csv

filename=open(‘test.csv’,’wb’)
c=csv.writer(filename)

db_config = read_db_config()
conn = MySQLConnection(**db_config)
cursor = conn.cursor()

query = (“SELECT id1_active, id2_active from table1”)

cursor.execute(query)

for id1_active, id2_active in cursor:
c.writerow([id1_active,id2_active] )

cursor.close()
filename.close()
cnn.close()

---

您能告诉我我做错了什么吗？

您需要获取数据并循环数据而不是光标：

from mysql.connector import MySQLConnection, Error
from python_mysql_dbconfig import read_db_config
import csv

filename=open(‘test.csv’,’wb’)
c=csv.writer(filename)

db_config = read_db_config()
conn = MySQLConnection(**db_config)
cursor = conn.cursor()

query = (“SELECT id1_active, id2_active from table1”)

cursor.execute(query)

#You first need to fetch data
data = cursor.fetchall()
for item in data:
    c.writerow(item )

cursor.close()
filename.close()
cnn.close()

# Establish a MySQL connection
from mysql.connector import MySQLConnection, Error
from python_mysql_dbconfig import read_db_config
db_config = read_db_config()
conn = MySQLConnection(**db_config)
import xlsxwriter
from xlsxwriter.workbook import Workbook
import datetime
from datetime import datetime
cursor = conn.cursor()

#creates the workbook
workbook = xlsxwriter.Workbook('imhere.xlsx')
worksheet = workbook.add_worksheet()

#formatting definitions
bold    = workbook.add_format({'bold': True})
date_format = workbook.add_format({'num_format': 'yyyy-mm-dd hh:mm:ss'})
timeShape =  '%Y-%m-%d %H:%M:%S'



query = ("SELECT sent_time, delivered_time, customer_name, id1_active, id2_active, id3_active, id1_inactive, id2_inactive, id3_inactive, location_active, location_inactive FROM table1 ")
"WHERE sent_time BETWEEN %s AND %s"
userIn = input("Type Start Date (YYYY-MM-DD hh:mm:ss):")
userEnd = input("Type End Date (YYYY-MM-DD hh:mm:ss):")
start_date = datetime.datetime(userIn,timeShape)
end_date = datetime.datetime(userEnd, timeShape)



# Execute sql Query
cursor.execute(query, (start_date, end_date))
#result = cursor.fetchall()


#sets up the header row
worksheet.write('A1','sent_time',bold)
worksheet.write('B1', 'delivered_time',bold)
worksheet.write('C1', 'customer_name',bold)
worksheet.write('D1', 'id1_active',bold)
worksheet.write('E1', 'id2_active',bold)
worksheet.write('F1', 'id3_active',bold)
worksheet.write('G1', 'id1_inactive',bold)
worksheet.write('H1', 'id2_inactive',bold)
worksheet.write('I1', 'id3_inactive',bold)
worksheet.write('J1', 'location_active',bold)
worksheet.write('K1', 'location_inactive',bold)
worksheet.autofilter('A1:K1')



print("sent_time", "delivered_time", "customer_name", "id1_active", "id2_active", "id3_active", "id1_inactive", "id2_inactive", "id3_inactive", "location_active", "location_inactive")
for row in cursor:
    print(row[0], row[1], row[2], row[3], row[4], row[5], row[6], row[7], row[8], row[9],row[10])

# Create a For loop to iterate through each row in the XLS file, starting at row 2 to skip the headers
for r, row in enumerate(cursor, start=1):  #where you want to start printing results inside workbook
    for c, col in enumerate(row):
        worksheet.write_datetime(r,0,row[0], date_format)
        worksheet.write_datetime(r,1, row[1], date_format)
        worksheet.write(r,2, row[2])
        worksheet.write(r,3, row[3])
        worksheet.write(r,4, row[4])
        worksheet.write(r,5, row[5])
        worksheet.write(r,6, row[6])
        worksheet.write(r,7, row[7])
        worksheet.write(r,8, row[8])
        worksheet.write(r,9, row[9])
        worksheet.write(r,10, row[10])




#close out everything and save
cursor.close()
workbook.close()
conn.close()

#print number of rows and bye-bye message
print ("- - - - - - - - - - - - -")
rows = len(result)
print ("I just imported "+ str(rows) + " rows from MySQL!")
print ("")
print ("Good to Go!!!")
print ("")

---

我开始用xlswriter解决问题。我能够从表中导出所有数据，但现在我无法让代码提取介于两个日期时间之间的数据……它一直在告诉我

    Traceback (most recent call last):
  File "C:\Python34\timerange.py", line 36, in <module>
    start_date = datetime.datetime(userIn,timeShape)
AttributeError: type object 'datetime.datetime' has no attribute 'datetime'

---

我开始搞乱xlsxwriter，实际上我自己做得更进一步……你能看看我的代码，看看为什么我不能选择在两个日期时间之间导出的数据吗？