Question

我是Python初学者。我发现这段代码非常适合我（将IP21连接到Power BI）-只是试图增加标签数量（信息）

import pandas as pd
import pyodbc
conn = pyodbc.connect('NAME')
tag = 'MYTAG'
start = '2019-01-01 12:00:00'
end = '2019-10-02 12:00:00'
sql = "select TS,VALUE from HISTORY "\
        "where NAME='%s'"\
        "and PERIOD = 60*10"\
        "and REQUEST = 2"\
        "and REQUEST=2 and TS between TIMESTAMP'%s' and TIMESTAMP'%s'" % (tag, start, end)
data = pd.read_sql(sql,conn) # Pandas DataFrame with your data!

相反，我只需要tag1，tag2，...并获取包含日期和所有这些值的表数据。如何更改代码？我得到一个使代码运行的答案，但是我认为我的续集编程搞砸了。名称不是一个标签，而是使搜索名称（tag1，tag2）无效。您如何在续集中找到多个东西？我想将其更改为

tag = ' TAG1'
tag2 =' TAG2'
start = '2019-01-01 12:00:00'
end = '2019-10-02 12:00:00'
sql = "select TS,VALUE from HISTORY "\
        "where NAME=('%s,%s)'"\
        "and PERIOD = 60*10"\
        "and REQUEST = 2"\
        "and REQUEST=2 and TS between TIMESTAMP'%s' and TIMESTAMP'%s'" % (tag, tag2, start, end)
data = pd.read_sql(sql,conn) # Pandas DataFrame with your data!

类似的东西。这有效，但提供了一个空表。谢谢！

Answer 1

如果我理解得很好。您想要一些标签的信息。因此，只需调整查询中标签的条件即可。您应该注意的是，每个标签都有一个％s。因此，如果要添加标签，请在查询中添加％s，并在括号中的％之后添加相应的变量。尝试学习用python替换字符串的人。很简单。

import pandas as pd
import pyodbc
conn = pyodbc.connect('NAME')
tag = 'MYTAG'
start = '2019-01-01 12:00:00'
end = '2019-10-02 12:00:00'
sql = "select TS,VALUE from HISTORY "\
        "WHERE NAME in ('%s', '%s')"\
        "and PERIOD = 60*10"\
        "and REQUEST = 2"\
        "and REQUEST=2 and TS between TIMESTAMP'%s' and TIMESTAMP'%s'" % (tag, start, end)
data = pd.read_sql(sql,conn) # Pandas DataFrame with your data!

创建扩展数据表

1 个答案: