如何处理 pandas 列中的不同日期格式？

Question

In the date column of some dataset, I have the date column written in different formats. Not the usual number formats style, but with the days of the week and months spelt out. Some rows have the months spelt short, others have theirs spelt in full. Making it difficult to do a simple pd.to_datetime(df,format) . I thought about running a for loop. I split each row by '-':

for x in df['Date']:
   if len(i.split('-')[1])<=6:

But then I realized this wasn't a great condition. I am thinking the solution would be regex? What do I do?

A sample of the dataset

Answer 1

You don't need to iterate, you can use .loc with .str accessor splits:

df.loc[df['Date'].str.split('-',expand=True)[6].str.len()<=6,'Date']

You can assign anything if you like, or just get it.