Python 在numpy数组中查找大于输入日期时间的条目

我希望返回的datetime numpy数组的条目比输入的datetime变量大

不幸的是，我在执行以下代码时遇到了此错误：

TypeError: '>' not supported between instances of 'int' and 'datetime.datetime'

这是我的代码：

import numpy as np
import pandas as pd
myRange = pd.date_range('2018-04-09', periods=5, freq='1D20min')

myArray = np.array(myRange).astype(np.datetime64).reshape(-1,1)
print("myArray:", myArray)
myDatetime = pd.datetime(2018,4,10,2,59,59)

myArray[myArray>myDatetime]

---

问题在于比较：
带有
myDateTime（类型为pd.datetime）

将myDateTime更改为numpy datetime64将给出一个结果

import numpy as np
import pandas as pd
myRange = pd.date_range('2018-04-09', periods=5, freq='1D20min')

myArray = np.array(myRange).astype(np.datetime64).reshape(-1,1)
print("myArray:", myArray)
myDatetime = np.datetime64("2018-04-10T02:59:59")

myArray[myArray>myDatetime]

给出：

myArray: [['2018-04-09T00:00:00.000000000']
['2018-04-10T00:20:00.000000000']
['2018-04-11T00:40:00.000000000']
['2018-04-12T01:00:00.000000000']
['2018-04-13T01:20:00.000000000']]
Out[27]: 
array(['2018-04-11T00:40:00.000000000', 
       '2018-04-12T01:00:00.000000000',
       '2018-04-13T01:20:00.000000000'], dtype='datetime64[ns]')

---

您试图使用布尔索引，但语法不正确。

myArray: [['2018-04-09T00:00:00.000000000']
['2018-04-10T00:20:00.000000000']
['2018-04-11T00:40:00.000000000']
['2018-04-12T01:00:00.000000000']
['2018-04-13T01:20:00.000000000']]
Out[27]: 
array(['2018-04-11T00:40:00.000000000', 
       '2018-04-12T01:00:00.000000000',
       '2018-04-13T01:20:00.000000000'], dtype='datetime64[ns]')