Python | Pandas PeriodIndex.freqstr

Namachila October 18, 2025

0 1 1 minute read

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.freqstr attribute return the frequency object as a string if its set, otherwise the function return None for the given PeriodIndex object.

Syntax : PeriodIndex.freqstr

Parameters : None

Return : frequency as a string

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

Python3

# importing pandas as pd
import pandas as pd
 
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2005-12-21 08:45 ', 
              end ='2005-12-21 11:55', freq ='H')
 
# Print the PeriodIndex object
print(pidx)

Output :

Now we will use the PeriodIndex.freqstr attribute to find the time series frequency of the given object.

Python3

# return the frequency object as a string
pidx.freqstr

Output :

As we can see in the output, the PeriodIndex.freqstr attribute has returned ‘H’ indicating that hourly frequency is applied on the given PeriodIndex object.

Example #2: Use PeriodIndex.freqstr attribute to find the time series frequency of the given PeriodIndex object.

Python3

# importing pandas as pd
import pandas as pd
 
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2011-02-1 ', 
             end ='2011-08-14', freq ='M')
 
# Print the PeriodIndex object
print(pidx)

Output :

Now we will use the PeriodIndex.freqstr attribute to find the time series frequency of the given object.

Python3

# return the frequency object as a string
pidx.freqstr

Output :

As we can see in the output, the PeriodIndex.freqstr attribute has returned ‘M’ indicating that monthly frequency is applied on the given PeriodIndex object.