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Python | Pandas Period.asfreq

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  • Last Updated : 06 Jan, 2019
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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’




# 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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