Python | Pandas Series.dt.freq

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.freq attribute return the time series frequency applied on the given series object if any, else it return None.

Syntax: Series.dt.freq

Parameter : None

Returns : frequency

Example #1: Use Series.dt.freq attribute to find the frequency of the underlying datetime based data in the given series object.

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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['2012-12-31', '2019-1-1 12:30', '2008-02-2 10:30',
               '2010-1-1 09:25', '2019-12-31 00:00'])
  
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
  
# set the index
sr.index = idx
  
# Convert the underlying data to datetime 
sr = pd.to_datetime(sr)
  
# Print the series
print(sr)

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Output :

Now we will use Series.dt.freq attribute to find the frequency of the datetime based data in the given series object.

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# find the frequency
result = sr.dt.freq
  
# print the result
print(result)

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Output :

As we can see in the output, the Series.dt.freq attribute has returned None indicating the frequency for the given datetime data is not known.

Example #2 : Use Series.dt.freq attribute to find the frequency of the underlying datetime based data in the given series object.

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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range('2012-12-31 00:00', periods = 5, freq = 'D',
                            tz = 'US / Central'))
  
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
  
# set the index
sr.index = idx
  
# Print the series
print(sr)

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Output :

Now we will use Series.dt.freq attribute to find the frequency of the datetime based data in the given series object.

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# find the frequency
result = sr.dt.freq
  
# print the result
print(result)

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Output :

As we can see in the output, the Series.dt.freq attribute has successfully returned the frequency of the underlying datetime based data in the given Series object.



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