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Python | Pandas Period.freq

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  • 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.freq attribute returns the frequency applied on the given Period object.

Syntax : Period.freq

Parameters : None

Return : frequency

Example #1: Use Period.freq attribute to find the time series frequency applied on the given Period object.




# importing pandas as pd
import pandas as pd
  
# Create the Period object
prd = pd.Period(freq ='D', year = 2001, month = 2, day = 21)
  
# Print the Period object
print(prd)

Output :

Now we will use the Period.freq attribute to find the frequency applied on prd object.




# return the frequency
prd.freq

Output :

As we can see in the output, the Period.freq attribute has returned ‘Day’ indicating that the time series frequency applied on the given object was day.

Example #2: Use Period.freq attribute to find the time series frequency applied on the given Period object.




# importing pandas as pd
import pandas as pd
  
# Create the Period object
prd = pd.Period(freq ='Q', year = 2006, quarter = 1)
  
# Print the object
print(prd)

Output :

Now we will use the Period.freq attribute to find the frequency applied on prd object.




# return the frequency
prd.freq

Output :


As we can see in the output, the Period.freq attribute has returned ‘QuarterEnd’ indicating that the time series frequency applied on the given object was ‘Quarter’.


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