我是python
的新手,并尝试处理一个项目,该项目要求我从SQL(.db)
数据库中提取数据并将此数据输出到Excel文件中。
我的数据库文件有很多数据,但我设法打印的结构如下
Run ID | Environment
1 52
2 52
3 52
4 52
5 72
6 72
7 72
8 72
....
现在我需要能够将这些值输出到像这样的Excel电子表格中,
52 | 72 | 92 | 112 | 132
以下是我当前的代码,它允许我输出
52 | 52 | 52 | 52 | 72 | 72 | 72 | 72
a是模块访问数据库中的c.fetchall()
任何帮助表示赞赏
Access_Database_Module.Access_Database(DB)
x = 2
DBcommand = "SELECT * FROM " + a[x][0]
print(a[x][0])
c.execute(DBcommand)
y = c.fetchall()
x = y
workbook = xls.Workbook('Environment.xlsx')
worksheet = workbook.add_worksheet('Environment Direction')
rowNum = 0
colNum = 1
workbook = xls.Workbook('Environment.xlsx')
worksheet = workbook.add_worksheet('Environment Direction')
for item in y:
while colNum == colNum + 1 :
colNum
worksheet.write(rowNum, colNum, item[14])
colNum += 1
workbook.close()
答案 0 :(得分:0)
您需要按如下方式更改查询:
DBcommand =" SELECT distinct [Environment] FROM" + a [x] [0]
这将返回您正在寻找的唯一值
答案 1 :(得分:0)
是否要从数据库列中删除重复项并将其存储在Excel中?如果是这样,那么下面的代码可以帮助你。
import pandas as pd
import sqlite3
# get DB connection
con = sqlite3.connect("your DB connection")
# Read sqlite query results into a pandas DataFrame
df = pd.read_sql_query("SELECT * from yourDB", con)
# verify that result of SQL query is stored in the dataframe
print(df.head())
con.close()
# if you want to remove duplicate based on particular column then do this
df.drop_duplicates(subset=[column_name],inplace=True)
# else do this
df.drop_duplicates(inplace=True)
# export to Excel file
df.to_excel("filename.xlsx",index=False)