在 Python 中打印格式正确的 SQLite 表 [英] Printing a properly formatted SQLite table in Python

问题描述

我编写了一个 Python 脚本来向我的表中添加行.我决定如果我也可以使用相同的脚本查看我的表，而不必退出脚本并运行 sqlite3 或切换到另一个 shell 并运行 sqlite3，那就太好了.所以我写了我期望的东西会给我我想要的东西并且它确实......这是有问题的脚本的一部分:

I've written a Python script to add rows to my tables. I decided it would be nice if I could also view my tables with the same script instead of having to either quit the script and run sqlite3 or switch to another shell and run sqlite3. So I wrote up what I expected would give me what I want and it sort of does... This is the part of the script in question:

import sqlite3

conn = sqlite3.connect('stu.db')
c = conn.cursor()

var = 1
while var == 1:

    enquiry = raw_input("What would you like to do?> ")

    enquiry == 'stu db' or enquiry == 'sd':
    c.execute("SELECT * FROM stu")
    conn.commit

在 sqlite3 中，当您运行 SELECT * FROM stu 时，您会得到一个格式良好的表格，其中包含统一的行和列.当我在这里运行它时，我会得到一长串括号中的信息.它看起来有点像这样(我没有打印实际结果，因为这会违反一些联邦法律):

In sqlite3 when you run SELECT * FROM stu you get a nicely formatted table with uniform rows and columns. When I run it here I get a long list of the information in parenthesis instead. It looks sort of like this (I didn't print the actual results as that would violate some Federal laws):

[(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None)]

我想我知道发生了什么.Python 只是吐出对 sqlite 的查询返回的内容，但是有没有办法格式化这些信息以便于阅读?

I think I know what's going on. Python is just spitting out what the query to sqlite returns, but is there a way to format this information so that it is easily readable?

推荐答案

您可以使用 pandas 用于此:

You can use pandas for this:

print pd.read_sql_query("SELECT * FROM stu", conn)

示例程序(python 2.7.6，pandas 0.18.0):

Sample program (python 2.7.6, pandas 0.18.0):

import sqlite3
import pandas as pd

conn = sqlite3.connect(':memory:')
c = conn.cursor()

c.execute('create table stu ( ID, Name, ShoeSize, Course, IQ, Partner )')
conn.commit()
c.executemany('insert into stu VALUES (?, ?, ?, ?, ?, ?)',
    [(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None),
     (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None)])
conn.commit()


# Ugly way
print list(c.execute("SELECT * FROM stu"))

# Pretty way
print pd.read_sql_query("SELECT * FROM stu", conn)

结果，包括丑陋和漂亮的输出:

Result, which includes both the ugly and the pretty output:

[(1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None), (1234567890, u'John Doe', 3852, u'DEGR-AA', 4, None)]
           ID      Name  ShoeSize   Course  IQ Partner
0  1234567890  John Doe      3852  DEGR-AA   4    None
1  1234567890  John Doe      3852  DEGR-AA   4    None
2  1234567890  John Doe      3852  DEGR-AA   4    None
3  1234567890  John Doe      3852  DEGR-AA   4    None
4  1234567890  John Doe      3852  DEGR-AA   4    None
5  1234567890  John Doe      3852  DEGR-AA   4    None
6  1234567890  John Doe      3852  DEGR-AA   4    None
7  1234567890  John Doe      3852  DEGR-AA   4    None
8  1234567890  John Doe      3852  DEGR-AA   4    None
9  1234567890  John Doe      3852  DEGR-AA   4    None

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