我有一个看起来像这样的数据框
dt1 dt2
0 2011-09-12 09:57:03.839546 2011-09-12 09:51:29.332474
1 2011-09-12 09:57:03.841132 2011-09-12 09:55:29.332774
2 2011-09-12 10:57:28.581049 2011-09-12 10:55:29.332774
3 2011-09-12 10:57:28.581049 2011-09-12 10:55:29.332774
4 2011-09-12 10:57:28.582636 2011-09-12 10:55:29.332774
条目的类是pandas.tslib.Timestamp。当我做的时候
df['dt1'][:]-df['dt2'][:]
我很好，但是这个
df['dt1']-df['dt2']
失败并出现以下错误
TypeError: Argument 'values' has incorrect type (expected numpy.ndarray, got Series)
为什么会发生这种情况，我该如何解决？
请您参考如下方法:
转换为 datetime64 可以修复它。
df['dt1'] = pd.to_datetime(df['dt1'])
df['dt2'] = pd.to_datetime(df['dt2'])
df['dt1']-df['dt2']
0 00:05:34.507072
1 00:01:34.508358
2 00:01:59.248275
3 00:01:59.248275
4 00:01:59.249862
