获取我的测试数据:
import pandas as pd
df = {'Id': {1762056: 2.0, 1762055: 1.0},
'FillDate': {1762056: Timestamp('2015-08-01 00:00:00'), 1762055:Timestamp('2015-08-01 00:00:00')},
'Date': {1762056: nan, 1762055: nan},
}
df = pd.DataFrame(df)
数据如下:
Id Date FillDate
1.0 NaN 2015-08-01
2.0 NaN 2015-08-01
所以为了填补缺少的日期,我这样做:
df['Date'].fillna(df['FillDate'], inplace=True)
给了我
Id Date FillDate
1.0 1438387200000000000 2015-08-01
2.0 1438387200000000000 2015-08-01
如何在日期格式中获取Date
列
答案 0 :(得分:4)
这有效:
df['Date'].fillna(pd.to_datetime(df['FillDate']).dt.date, inplace=True)
给出了
Id Date FillDate
1.0 2015-08-01 2015-08-01
2.0 2015-08-01 2015-08-01