Question

我正在尝试将pandas DataFrame列中的值设置为另一个pandas DataFrame中列的值。我遇到了类型（pandas.tslib.Timestamp）无法正确转换的问题。

我有一个DataFrame indicators：

                           0
                   Timestamp
0  2016-02-12 13:45:00-05:00
1  2016-02-16 13:45:00-05:00
2  2016-02-17 13:45:00-05:00
3  2016-02-18 13:45:00-05:00
4  2016-02-19 13:45:00-05:00
5  2016-02-22 13:45:00-05:00
6  2016-02-24 13:45:00-05:00
7  2016-02-25 13:45:00-05:00
8  2016-02-26 13:45:00-05:00
9  2016-02-29 13:45:00-05:00
10 2016-03-01 13:45:00-05:00
11 2016-03-02 13:45:00-05:00
12 2016-03-03 13:45:00-05:00

另一个DataFrame signals：

        Signal Timestamp
0    0     NaN       NaN
     1     NaN       NaN
     2     NaN       NaN
     3     NaN       NaN
     4     NaN       NaN
     5     NaN       NaN
     6     NaN       NaN
     7     NaN       NaN
     8     NaN       NaN
     9     NaN       NaN
     10    NaN       NaN
     11    NaN       NaN
     12    NaN       NaN

signals.info()：

<class 'pandas.core.frame.DataFrame'>
MultiIndex: 19500 entries, (0, 0) to (1499, 12)
Data columns (total 2 columns):
Signal       0 non-null object
Timestamp    0 non-null object
dtypes: object(2)
memory usage: 457.0+ KB

我尝试做：

signals['Timestamp'][0] = indicators[0]['Timestamp']

产生

        Signal            Timestamp
0    0     NaN  1455302700000000000
     1     NaN  1455648300000000000
     2     NaN  1455734700000000000
     3     NaN  1455821100000000000
     4     NaN  1455907500000000000
     5     NaN  1456166700000000000
     6     NaN  1456339500000000000
     7     NaN  1456425900000000000
     8     NaN  1456512300000000000
     9     NaN  1456771500000000000
     10    NaN  1456857900000000000
     11    NaN  1456944300000000000
     12    NaN  1457030700000000000

如何正确转换？

Answer 1

我最终做了

signals['Timestamp'][0] = indicators[0]['Timestamp'].set_index('Timestamp').index

在pandas列中设置日期时间值：键入不正确的转换

1 个答案: