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Python | Pandas DatetimeIndex.freq

  • Last Updated : 24 Dec, 2018

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 DatetimeIndex.freq attribute returns the frequency object if it is set in the DatetimeIndex object. If the frequency is not set then it returns None.

Syntax: DatetimeIndex.freq

Return: frequency object

Example #1: Use DatetimeIndex.freq attribute to find the frequency for the given DatetimeIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the DatetimeIndex
# Here 'BQ' represents Business quarter frequency
didx = pd.DatetimeIndex(start ='2014-08-01 10:05:45', freq ='BQ'
                               periods = 5, tz ='Asia/Calcutta')
  
# Print the DatetimeIndex
print(didx)

Output :

Now we want to find the value of frequency for the given DatetimeIndex object.




# find the value of frequency
didx.freq

Output :

As we can see in the output, the function has returned a frequency object for the given DatetimeIndex object.
 
Example #2: Use DatetimeIndex.freq attribute to find the frequency for the given DatetimeIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the DatetimeIndex
# Here 'CBMS' represents custom business month start frequency
didx = pd.DatetimeIndex(start ='2000-01-10 06:30', freq ='CBMS',
                               periods = 5, tz ='Asia/Calcutta')
  
# Print the DatetimeIndex
print(didx)

Output :

Now we want to find the value of frequency for the given DatetimeIndex object.




# find the value of frequency
didx.freq

Output :

As we can see in the output, the function has returned a frequency object for the given DatetimeIndex object. The didx DatetimeIndex object is having custom business month start frequency.


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