如何在python中获取表列名称/标题以进行SQL查询 [英] How to get table column-name/header for SQL query in python
问题描述
我将数据存储在使用Python存储在SQLITE数据库中的pandas数据框中.当我尝试查询其中的表时,我可以获得结果,但没有列名.有人可以引导我吗?
I have the data in pandas dataframe which I am storing in SQLITE database using Python. When I am trying to query the tables inside it, I am able to get the results but without the column names. Can someone please guide me.
sql_query = """Select date(report_date), insertion_order_id, sum(impressions), sum(clicks), (sum(clicks)+0.0)/sum(impressions)*100 as CTR
from RawDailySummaries
Group By report_date, insertion_order_id
Having report_date like '2014-08-12%' """
cursor.execute(sql_query)
query1 = cursor.fetchall()
for i in query1:
print i
下面是我得到的输出
(u'2014-08-12', 10187, 2024, 8, 0.3952569169960474)
(u'2014-08-12', 12419, 15054, 176, 1.1691244851866613)
我需要怎么做才能以表格形式显示结果以及列名称
What do I need to do to display the results in a tabular form with column names
推荐答案
在符合DB-API 2.0的客户端中,cursor.description
是由7个项目组成的序列,序列形式为(<name>, <type_code>, <display_size>, <internal_size>, <precision>, <scale>, <null_ok>)
,每列一个,如上所述. 此处.注意,如果execute语句的结果为空,则description
将为None
.
In DB-API 2.0 compliant clients, cursor.description
is a sequence of 7-item sequences of the form (<name>, <type_code>, <display_size>, <internal_size>, <precision>, <scale>, <null_ok>)
, one for each column, as described here. Note description
will be None
if the result of the execute statement is empty.
如果要创建列名列表,则可以使用如下列表理解功能:column_names = [i[0] for i in cursor.description]
然后根据需要对其进行处理.
If you want to create a list of the column names, you can use list comprehension like this: column_names = [i[0] for i in cursor.description]
then do with them whatever you'd like.
或者,您可以将连接对象的row_factory
参数设置为可为列名提供结果的内容.在此处,您将在下面看到有关sqlite3.Row
类型的讨论.
Alternatively, you can set the row_factory
parameter of the connection object to something that provides column names with the results. An example of a dictionary-based row factory for SQLite is found here, and you can see a discussion of the sqlite3.Row
type below that.
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