Open In App

Python | Pandas PeriodIndex.asfreq

Improve
Improve
Like Article
Like
Save
Share
Report

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.




# importing pandas as pd
import pandas as pd
  
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2004-11-11 02:45:21 '
                end ='2021-5-21 8:45:29', freq ='Y')
  
# Print the PeriodIndex object
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.




# convert the frequency
# 'M' stands for monthly frequency
pidx.asfreq('M')


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.




# importing pandas as pd
import pandas as pd
  
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2016-10-12 11:12:02'
             end ='2020-04-12 11:32:12', freq ='Q')
  
# Print the PeriodIndex object
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.




# convert the frequency
# 'Y' stands for yearly frequency
pidx.asfreq('Y')


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
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads