[英]Converting pandas object to timedelta results in NaT
I have a DataFrame with three columns, one date and two times. 我有一个包含三列的DataFrame,一个日期和两次。 It's like this:
就像这样:
date hour_in hour_out
0 01/06/2016 08:15 19:37
1 02/06/2016 08:26 17:31
2 03/06/2016 08:08 21:31
I'm trying to convert hour_in
and hour_out
to timedelta using this code (which is based on an answer on this question Dates from 1900-01-01 are added to my 'Time' after using df['Time'] = pd.to_datetime(phData['Time'], format='%H:%M:%S') ): 我正在尝试使用此代码将
hour_in
和hour_out
转换为timedelta(这是基于以下问题的答案: 使用df ['Time'] = pd.to_datetime之后,将1900-01-01的日期添加到我的“ Time”中(phData ['Time'],format ='%H:%M:%S') ):
df['hora_entrada'] = pd.to_timedelta(df['hora_entrada'], errors='coerce')
df['hora_saida'] = pd.to_timedelta(df['hora_saida'] , errors='coerce')
After the cast, my column is converted to the correct dtype timedelta64[ns]
, but all the values are set to NaT
. timedelta64[ns]
转换后,我的列将转换为正确的timedelta64[ns]
,但所有值均设置为NaT
。 My df.info()
returns this: 我的
df.info()
返回以下内容:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 439 entries, 0 to 438
Data columns (total 4 columns):
data 439 non-null datetime64[ns]
hour_in 0 non-null timedelta64[ns]
hour_out 0 non-null timedelta64[ns]
dtypes: datetime64[ns](1), timedelta64[ns](2)
And the data output is like this: 数据输出是这样的:
data hora_entrada hora_saida
0 2016-06-01 NaT NaT
1 2016-06-02 NaT NaT
2 2016-06-03 NaT NaT
I've tried to convert the time columns to datetime
and then to timedelta
but I got strange results. 我试图将时间列转换为
datetime
时间,然后转换为时间timedelta
但结果timedelta
奇怪。 Here's an example: 这是一个例子:
data hora_entrada hora_saida
0 2016-06-01 -25567 days +08:15:00 -25567 days +19:37:00
1 2016-06-02 -25567 days +08:26:00 -25567 days +17:31:00
2 2016-06-03 -25567 days +08:08:00 -25567 days +21:31:00
I think it's because when I convert it to datetime
it's appended to the hour a date 1900-01-01
. 我认为这是因为当我将其转换为
datetime
时,会在datetime
加上1900-01-01
这个日期。
Consider the following approach: 考虑以下方法:
In [24]: pd.to_timedelta(df.hour_in + ':00', errors='coerce')
Out[24]:
0 08:15:00
1 08:26:00
2 08:08:00
Name: hour_in, dtype: timedelta64[ns]
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.