I've a column with birth dates as object, the problem is when I tried to convert it into datetime, because it displays always the next warning
time data '27126' does not match format '%d/%m/%Y' (match)
date
0 05/06/1980
1 31/07/1947
2 07/01/1963
3 26/03/1973
4 30/01/1991
5 12/12/1991
6 13/08/1987
7 10/01/1944
8 23/06/1965
9 08/10/1995
till now I've tried the next codes:
df['date'] = pd.to_datetime(df['date'], format='%d/%m/%Y')
df['date'] = df['date'].apply(lambda x: datetime.datetime.strptime(x, "%d/%m/%Y").strftime("%Y-%m-%d"))
df['date'] = pd.to_datetime(df['date'].str.strip(), format='%d/%m/%Y')
添加参数errors='coerce'
以将不匹配的日期时间转换为缺失值,此处为NaT
:
df['date'] = pd.to_datetime(df['date'], format='%d/%m/%Y', errors='coerce')
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