# 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.

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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’

 `# importing pandas as pd``import` `pandas as pd`` ` `# Create the Period object``prd ``=` `pd.Period(freq ``=``'S'``, year ``=` `2000``, month ``=` `2``, day ``=` `22``,``                        ``hour ``=` `8``, minute ``=` `21``, second ``=` `24``)`` ` `# Print the Period object``print``(prd)`

Output : Now we will use the `Period.asfreq()` function to change the frequency of the prd object to ‘Daily frequency’.

 `# change the frequency``prd.asfreq(freq ``=``'D'``)`

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’

 `# importing pandas as pd``import` `pandas as pd`` ` `# Create the Period object``prd ``=` `pd.Period(freq ``=``'S'``, year ``=` `2006``, month ``=` `10``, ``               ``hour ``=` `15``, minute ``=` `49``, second ``=` `17``)`` ` `# Print the object``print``(prd)`

Output : Now we will use the `Period.asfreq()` function to change the frequency of the prd object to ‘hourly frequency’.

 `# change the frequency``prd.asfreq(freq ``=``'H'``)`

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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