import sqlite3
def function():
with sqlite3.connect("test.db")as db:
c = db.cursor()
index = 1
while index == 1:
c.execute("CREATE TABLE IF NOT EXISTS data(name,age);")
insert = "INSERT INTO data(name,age) VALUES ('JOHN',16)"
c.execute(insert)
db.commit()
index += 1
display()
def display():
with sqlite3.connect("test.db")as db:
c = db.cursor()
c.execute("CREATE VIEW IF NOT EXISTS test_VIEW AS SELECT name, age FROM data")
db.commit()
c.execute("SELECT * FROM test_VIEW")
function = function()
output = display()
引用SQLite Views。我正在尝试从数据库中打印所有数据。但是从上面的示例代码中,我只能得到一个空白输出。我该怎么办?
答案 0 :(得分:1)
您需要遍历结果。请参阅下面的完整模型。我已经对其进行了修改,以便可以使用pandas
数据框很好地打印出来。:
import sqlite3
import pandas as pd
def function():
with sqlite3.connect("test.db")as db:
c = db.cursor()
index = 1
while index == 1:
c.execute("CREATE TABLE IF NOT EXISTS data(name,age);")
insert = "INSERT INTO data(name,age) VALUES ('JOHN',16)"
c.execute(insert)
db.commit()
index += 1
display()
def display():
with sqlite3.connect("test.db")as db:
c = db.cursor()
c.execute("CREATE VIEW IF NOT EXISTS test_VIEW AS SELECT name, age FROM data")
db.commit()
data_pd = pd.read_sql('SELECT * FROM test_VIEW',db)
print data_pd
function = function()
output = display()
结果如下:
name age
0 JOHN 16
答案 1 :(得分:0)
您将不得不使用fetchall()
方法
在显示功能中执行
query = c.execute("SELECT * FROM test_VIEW")
data = c.fetchall()
for d in data:
print (d)