Pandas Series dt.day_name() Method | Get Day From Date in Pandas
Pandas dt.day_name() method returns the day names of the DateTime Series objects with specified locale.
Example
Python3
import pandas as pd
sr = pd.Series([ '2012-12-31 08:45' , '2019-1-1 12:30' , '2008-02-2 10:30' ,
'2010-1-1 09:25' , '2019-12-31 00:00' ])
idx = [ 'Day 1' , 'Day 2' , 'Day 3' , 'Day 4' , 'Day 5' ]
sr.index = idx
sr = pd.to_datetime(sr)
result = sr.dt.day_name(locale = 'English' )
print (result)
|
Output:
Syntax
Syntax: Series.dt.day_name(locale)Â
Parameter
- locale : Locale determining the language in which to return the day name. Default is English locale.Â
Returns: Index of day names.
How to Extract Day Name from Date in Pandas Series
To extract the day name from a given date in the Pandas Series we use the Series.dt.day_name() method of the Pandas library in Python.
Let us understand it better with an example:
Example:
Use the dt.day_name() function to return the day names of the underlying DateTime data in the given Series object.
Python3
import pandas as pd
sr = pd.Series(pd.date_range( '2012-12-31 09:45' , periods = 5 , freq = 'Q' ,
tz = 'Europe / Berlin' ))
idx = [ 'Day 1' , 'Day 2' , 'Day 3' , 'Day 4' , 'Day 5' ]
sr.index = idx
print (sr)
|
Output :
Now we will use the Series.dt.day_name() function to return the names of the day of each timestamp in the given series object.
Python3
result = sr.dt.day_name(locale = 'French' )
print (result)
|
Output :
As we can see in the output, the Series.dt.day_name() function has successfully returned the names of the day in the specified language.
Last Updated :
07 Feb, 2024
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