从 pandas 日期列中减去当前时间 [英] subtract current time from pandas date column

问题描述

我有一个像

x = pd.DataFrame(['05/06/2015 00:00', '22/06/2015 00:00', None], columns=['myDate'])

我想找出 myDate 列中的日期与当前日期之间的天数.我怎样才能做到这一点?我尝试了以下但没有成功

I want to find out the number of days between the dates in the myDate column and the current date. How can I do this? I tried the below without much success

pd.to_datetime(x['myDate']) - pd.datetime.now().date()

推荐答案

以下对我有用:

In [9]:

df = pd.DataFrame(['05/06/2015 00:00', '22/06/2015 00:00', None], columns=['myDate'])
df['myDate']= pd.to_datetime(df['myDate'], errors='coerce')
df
Out[9]:
      myDate
0 2015-05-06
1 2015-06-22
2        NaT
In [10]:

df['diff'] = df['myDate'] - pd.Timestamp.now().normalize()
df
Out[10]:
      myDate    diff
0 2015-05-06  9 days
1 2015-06-22 56 days
2        NaT     NaT

和你的版本一样:

In [13]:

df['diff'] = df['myDate'] - pd.Timestamp.now().normalize()
df
Out[13]:
      myDate    diff
0 2015-05-06  9 days
1 2015-06-22 56 days
2        NaT     NaT

更紧凑的版本:

In [15]:

df = pd.DataFrame(['05/06/2015 00:00', '22/06/2015 00:00', None], columns=['myDate'])
df['diff']= pd.to_datetime(df['myDate'], errors='coerce') - pd.Timestamp.now().normalize()
df
Out[15]:
             myDate    diff
0  05/06/2015 00:00  9 days
1  22/06/2015 00:00 56 days
2              None     NaT

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