Python | Pandas Period.freq

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. Python3

# 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. Python3

# 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. Python3

# 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. Python3

# 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'.