Python | Pandas PeriodIndex.asfreq
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 PeriodIndex.asfreq()
function convert each element of the given PeriodIndex object to the specified frequency.
Syntax : PeriodIndex.asfreq(freq=None, how=’E’)
Parameters :
freq : a frequency
how : ‘E’, ‘END’, or ‘FINISH’ for end, ‘S’, ‘START’, or ‘BEGIN’ for start.
Return : PeriodIndex with the new frequency
Example #1: Use PeriodIndex.asfreq()
function to convert the frequency of the given PeriodIndex object to the specified time series frequency.
import pandas as pd
pidx = pd.PeriodIndex(start = '2004-11-11 02:45:21 ' ,
end = '2021-5-21 8:45:29' , freq = 'Y' )
print (pidx)
|
Output :
Now we will use the PeriodIndex.asfreq()
function to convert the time series frequency of the given PeriodIndex object to the specified frequency.
Output :
As we can see in the output, the PeriodIndex.asfreq()
function has converted the frequency of the given PeriodIndex object to the specified frequency.
Example #2: Use PeriodIndex.asfreq()
function to convert the frequency of the given PeriodIndex object to the specified time series frequency.
import pandas as pd
pidx = pd.PeriodIndex(start = '2016-10-12 11:12:02' ,
end = '2020-04-12 11:32:12' , freq = 'Q' )
print (pidx)
|
Output :
Now we will use the PeriodIndex.asfreq()
function to convert the time series frequency of the given PeriodIndex object to the specified frequency.
Output :
As we can see in the output, the PeriodIndex.asfreq()
function has converted the frequency of the given PeriodIndex object to the specified frequency.
Last Updated :
06 Jan, 2019
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