Python | Pandas Period.asfreq
Last Updated :
06 Jan, 2019
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.asfreq()
function is used to convert Period to desired frequency, either at the start or end of the interval.
Syntax : Period.asfreq()
Parameters :
freq : string
how : Start or end of the timespan
Return : resampled : Period
Example #1: Use Period.asfreq()
function to change the frequency of the given period from ‘Seconds’ to ‘Days’
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.asfreq()
function to change the frequency of the prd object to ‘Daily frequency’.
Output :
As we can see in the output, the Period.asfreq()
function has successfully changed the frequency of the given object to the desired frequency.
Example #2: Use Period.asfreq()
function to change the frequency of the given period from ‘Seconds’ to ‘Hours’
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.asfreq()
function to change the frequency of the prd object to ‘hourly frequency’.
Output :
As we can see in the output, the Period.asfreq()
function has successfully changed the frequency of the given object to the desired frequency.
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