Python | Pandas Period.strftime
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas Period.strftime()
function returns the string representation of the Period, depending on the selected format. format must be a string containing one or several directives. The method recognizes the same directives as the time.strftime()
function of the standard Python distribution, as well as the specific additional directives %f, %F, %q. (formatting & docs originally from scikits.timeries)
Syntax : Period.strftime()
Parameters : format
Return : string
Example #1: Use Period.strftime()
function to return the value of the given period in a specified format.
import pandas as pd
prd = pd.Period(freq = 'S' , year = 2000 , month = 2 , day = 22 ,
hour = 8 , minute = 21 , second = 24 )
print (prd)
|
Output :
Now we will use the Period.strftime()
function to return the given period in (‘%b. %d, %Y was a %A’) format.
Note : '%b'
is month name, %d
is day of the month, %Y
is year and %A
is weekday name.
prd.strftime( '% b. % d, % Y was a % A' )
|
Output :
As we can see in the output, the Period.strftime()
function has returned the value of the given period in the specified format.
Example #2: Use Period.strftime()
function to return the value of the given period in a specified format.
import pandas as pd
prd = pd.Period(freq = 'S' , year = 2006 , month = 10 ,
hour = 15 , minute = 49 , second = 17 )
print (prd)
|
Output :
Now we will use the Period.strftime()
function to return the given period in (‘%b-%Y’) format.
Note : '%b'
is month name, %Y
is year
Output :
As we can see in the output, the Period.strftime()
function has returned the value of the given period in the specified format.
Last Updated :
06 Jan, 2019
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