I have a dataframe like this, how to sort this.
df = pd.DataFrame({'Date':['Oct20','Nov19','Jan19','Sep20','Dec20']})
Date
0 Oct20
1 Nov19
2 Jan19
3 Sep20
4 Dec20
I familiar in sorting list of dates(string)
a.sort(key=lambda date: datetime.strptime(date, "%d-%b-%y"))
Any thoughts? Should i split it?
First convert column to datetimes and get positions of sorted values by Series.argsort
what is used for change ordering with DataFrame.iloc
:
df = df.iloc[pd.to_datetime(df['Date'], format='%b%y').argsort()]
print (df)
Date
2 Jan19
1 Nov19
3 Sep20
0 Oct20
4 Dec20
Details :
print (pd.to_datetime(df['Date'], format='%b%y'))
0 2020-10-01
1 2019-11-01
2 2019-01-01
3 2020-09-01
4 2020-12-01
Name: Date, dtype: datetime64[ns]
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.