Python 3.x 使用datetime索引对数据帧中的行进行子集设置不起作用(?)

Python 3.x 使用datetime索引对数据帧中的行进行子集设置不起作用(?),python-3.x,pandas,datetime,indexing,subset,Python 3.x,Pandas,Datetime,Indexing,Subset,你能解释这种现象吗 对于可再现的示例: sp500.head(21).to_json() '{"Close":{"1580428800000":3225.52,"1580342400000":3283.66,"1580256000000":3273.4,"1580169600000":3276.24,"1580083200000":3243.63,"1579824000000":3295.47,"1579737600000":3325.54,"1579651200000":3321.75,"

你能解释这种现象吗

对于可再现的示例:

sp500.head(21).to_json()
'{"Close":{"1580428800000":3225.52,"1580342400000":3283.66,"1580256000000":3273.4,"1580169600000":3276.24,"1580083200000":3243.63,"1579824000000":3295.47,"1579737600000":3325.54,"1579651200000":3321.75,"1579564800000":3320.79,"1579219200000":3329.62,"1579132800000":3316.81,"1579046400000":3289.29,"1578960000000":3283.15,"1578873600000":3288.13,"1578614400000":3265.35,"1578528000000":3274.7,"1578441600000":3253.05,"1578355200000":3237.18,"1578268800000":3246.28,"1578009600000":3234.85,"1577923200000":3257.85}}'
我的Pandas vesion是
'1.0.0rc0'


这里出了什么问题,我应该怎么做?

对于我来说,正确工作的熊猫版本是什么?请参阅更新的posthmmm,所以问题可能是在熊猫0.23.1中测试的bug