Python | Pandas Period.freqstr
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.freqstr
attribute returns the string alias of the Time series frequency applied on the given Period object.
Syntax : Period.freqstr
Parameters : None
Return : string
Example #1: Use Period.freqstr
attribute to find the string alias of 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.freqstr
attribute to find the string alias of the frequency applied on prd object.
# return the string alias of the frequency prd.freqstr |
Output :
As we can see in the output, the Period.freqstr
attribute has returned ‘D’ indicating that the time series frequency applied on the given object was day.
Example #2: Use Period.freqstr
attribute to find the string alias of 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.freqstr
attribute to find the string alias of the frequency applied on prd object.
# return the string alias of the frequency prd.freqstr |
Output :
As we can see in the output, the Period.freqstr
attribute has returned ‘Q-DEC’ indicating that the time series frequency applied on the given object was the end quarter of the year.