如何获取pandas中不同列的日期格式

Question

In my pandas dataframe I have 2 to 3 different DateTime columns. Now I want to show the format of that date columns

Example:

Column1	Column2
2016-03-12 23:24:05	26-03-2016 11:23:09 AM

Now it should print the format: YYYY-MM-DD HH:MM:SS for Column1 and DD-MM-YYYY HH:MM:SS AM for Column2

Answer 1

I am not aware of anything that parses the datetime formats, also strftime and strptime dosnot have the formats you show. You would have to rely on the default formats and using them you have to create all possible formats and your expected value in a dictionary. Then you can do below:

formats={'%Y-%m-%d %H:%M:%S':'YYYY-MM-DD HH:MM:SS',
         '%d-%m-%Y %H:%M:%S AM':'DD-MM-YYYY HH:MM:SS AM'}

possibilities = pd.MultiIndex.from_product((df.columns,formats.keys()))

u = df.astype(str) #if the datetime columns are not strings already
d = {}
for i in possibilities:
    try:
        pd.to_datetime(u[i[0]],format=i[1])
        d[i[0]] = formats.get(i[1])
    except ValueError:
        pass

---

print(d)

{'Column1': 'YYYY-MM-DD HH:MM:SS', 'Column2': 'DD-MM-YYYY HH:MM:SS AM'}