Python | Pandas Period.freq
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.
import pandas as pd
prd = pd.Period(freq = 'D' , year = 2001 , month = 2 , day = 21 )
print (prd)
|
Output :
Now we will use the Period.freq
attribute to find the frequency applied on prd object.
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.
import pandas as pd
prd = pd.Period(freq = 'Q' , year = 2006 , quarter = 1 )
print (prd)
|
Output :
Now we will use the Period.freq
attribute to find the frequency applied on prd object.
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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