需要将对象类型转换为日期时间,并使用转换后的日期时间在过滤时不知不觉地再次更改为对象。
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实际结果: TypeError:' NoneType'对象不可订阅
预期结果: 需要显示带有其他行和列的已过滤列表
答案 0 :(得分:0)
我认为您需要to_datetime
,如果第一个数字是天,则添加参数dayfirst=True
:
print (msft)
Title plan run status Tested On
0 A P0 P0 Passed 11/08/2018 8:42 AM
1 B P0 P0 Failed 12/08/2018 8:42 AM
2 C - Canary Passed 10/08/2018 8:42 AM
3 D - Sanity Blocked 11/08/2018 8:42 AM
msft['Tested On'] = pd.to_datetime(msft['Tested On'], dayfirst=True)
print (msft)
Title plan run status Tested On
0 A P0 P0 Passed 2018-08-11 08:42:00
1 B P0 P0 Failed 2018-08-12 08:42:00
2 C - Canary Passed 2018-08-10 08:42:00
3 D - Sanity Blocked 2018-08-11 08:42:00
然后按dt.floor
删除时间并比较:
df = msft[msft['Tested On'].dt.floor('d') == '2018-08-11']
print (df)
Title plan run status Tested On
0 A P0 P0 Passed 2018-08-11 08:42:00
3 D - Sanity Blocked 2018-08-11 08:42:00
<强>详细强>:
print (msft['Tested On'].dt.floor('d'))
0 2018-08-11
1 2018-08-12
2 2018-08-10
3 2018-08-11
Name: Tested On, dtype: datetime64[ns]