如何使用 Python 将查询导出到 excel?

How to export a query to excel using Python?

我一直在尝试循环遍历列表作为数据库查询的参数,并将其转换为 xlsx 格式,使用 pyodbc、pandas、xlsxwriter 模块。

然而,尽管经过反复试验,以下消息仍不断出现: 要执行的第一个参数必须是字符串或 unicode 查询。

这可能与查询本身或模块有关 'pandas'?

谢谢。

这是为了使用 pandas 和 pyodbc 将查询结果导出到 excel 电子表格,python 3.7 ver.

import pyodbc
import pandas as pd 

#Database Connection
conn = pyodbc.connect(driver='xxxxxx', server='xxxxxxx', database='xxxxxx',
                      user='xxxxxx', password='xxxxxxxx')

cursor = conn.cursor()

depts = ['Human Resources','Accounting','Marketing']

query = """
                           SELECT *
                           FROM device ID 
                           WHERE
                           Department like ?
                           AND
                           Status like 'Active'
                           """

target = r'O:\Example'

today = target + os.sep + time.strftime('%Y%m%d')

if not os.path.exists(today):
    os.mkdir(today)

for i in departments:
    cursor.execute(query, i)
    #workbook = Workbook(today + os.sep + i + 'xlsx')
    #worksheet = workbook.add_worksheet()
    data = cursor.fetchall()
    P_data = pd.read_sql(data, conn)
    P_data.to_excel(today + os.sep + i + 'xlsx')

当您使用 pandas.read_sql() 将数据读入数据帧时,pandas 期望第一个参数是要执行的查询(以字符串格式),不是查询结果。

代替你的台词:

P_data = pd.read_sql(data, conn)

您想使用:

P_data = pd.read_sql(query, conn)

要过滤掉部门,您需要将列表序列化为 SQL 语法字符串:

depts = ['Human Resources','Accounting','Marketing']

# gives you the string to use in your sql query:
depts_query_string = "('{query_vals}')".format(query_vals="','".join(depts))

要在查询中使用新的 SQL 字符串,请使用 str.format:

query = """
                           SELECT *
                           FROM device ID 
                           WHERE
                           Department in {query_vals}
                           AND
                           Status like 'Active'
                           """.format(query_vals=depts_query_string)

现在一起:

import pyodbc
import pandas as pd 

#Database Connection
conn = pyodbc.connect(driver='xxxxxx', server='xxxxxxx', database='xxxxxx',
                      user='xxxxxx', password='xxxxxxxx')

cursor = conn.cursor()

depts = ['Human Resources','Accounting','Marketing']

# gives you the string to use in your sql query:
depts_query_string = "('{query_vals}')".format(query_vals="','".join(depts))

query = """
                            SELECT *
                            FROM device ID 
                            WHERE
                            Department in {query_vals}
                            AND
                            Status like 'Active'
                            """.format(query_vals=depts_query_string)

target = r'O:\Example'

today = target + os.sep + time.strftime('%Y%m%d')

if not os.path.exists(today):
    os.mkdir(today)

for i in departments:
    #workbook = Workbook(today + os.sep + i + 'xlsx')
    #worksheet = workbook.add_worksheet()
    P_data = pd.read_sql(query, conn)
    P_data.to_excel(today + os.sep + i + 'xlsx')

对查询进行排序后,您可以使用以下命令直接加载到数据框中。

P_data = pd.read_sql_query(query, conn)
P_data.to_excel('desired_filename.format')