Question

我可以通过首先将日期时间created列设置为索引并对数据帧进行切片来选择两个日期之间的pandas数据帧。但现在我想做一个涉及额外日期时间列的新查询＆＃39; modifieddate＆＃39;即：

df = df.set_index(['created'])
print (df)
                        name      modifieddate
created                                                        
2014-01-01 16:07:07     john      2014-01-01 16:07:07
2014-01-04 16:07:07     harold    2014-01-04 16:07:07
2014-01-04 16:07:07     clara     2014-01-04 18:07:07
2014-01-05 16:07:07     emily     2014-01-06 16:07:07
2014-01-08 16:07:07     smiths    2014-01-08 16:07:07
2014-01-09 20:07:07     clara     2014-01-09 20:07:07
2014-01-10 18:07:07     clara     2014-01-10 18:07:07
2014-01-10 16:07:07     john      2014-01-11 16:07:07

选择created和modifieddate相等的行，并且在给定的日期时间2014-01-04 16:07:07和2014-01-10 16:07:07之间：

                        name      modifieddate
created                                                        
2014-01-04 16:07:07     harold    2014-01-04 16:07:07 
2014-01-08 16:07:07     smiths    2014-01-08 16:07:07
2014-01-09 20:07:07     clara     2014-01-09 20:07:07

Answer 1

您可以between使用boolean indexing：

s = '2014-01-04 16:07:07'
e = '2014-01-10 16:07:07'
df = df[(df.index.to_series().between(s,e)) & 
        (df.modifieddate.between(s,e)) & 
        (df.index == df.modifieddate)]
print (df)
                       name        modifieddate
created                                        
2014-01-04 16:07:07  harold 2014-01-04 16:07:07
2014-01-08 16:07:07  smiths 2014-01-08 16:07:07
2014-01-09 20:07:07   clara 2014-01-09 20:07:07

Answer 2

假设您的列“已创建”不是索引。

 df2=     df.ix[(df.created==df.modifieddate)&(df.created>=datetime.datetime(2014,1,4,
 16,7,7))&(df.created <=datetime.datetime(2014,1,10, 16,7,7)]

选择两个给定日期之间的pandas数据帧，其中两列的值相等

2 个答案: