阅读一个Sql数据库和输出到Excel中的Excel
我是相当新的python
并试图在一个项目,需要我从SQL(.db)
数据库中提取数据并将这些数据输出到Excel文件的项目。
我的数据库文件有很多的数据,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Excel电子表格中,
52 | 72 | 92 | 112 | 132
下面是我目前的代码,它允许我输出
52 | 52 | 52 | 52 | 72 | 72 | 72 | 72
一个是从模块访问数据库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()
你需要改变你的查询,如下所示:
DBcommand =“SELECT distinct [Environment] FROM”+ a [x] [0]
这将返回您正在寻找的唯一值
你想从你的数据库列删除重复项,并将其存储在Excel中? 如果是这样,那么下面的代码可能会帮助你。
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)