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Python | Pandas Series.dt.floor
  • Last Updated : 20 Mar, 2019
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Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.floor() function perform floor operation on the data to the specified freq.

Syntax: Series.dt.floor(*args, **kwargs)

Parameter :
freq : The frequency level to floor the index to

Returns : DatetimeIndex, TimedeltaIndex, or Series

Example #1: Use Series.dt.floor() function to floor the datetime data of the given series object to the specified frequency.






# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['2012-12-31 08:45', '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)

Output :

Now we will use Series.dt.floor() function to floor the datetime values in the given series object to Daily frequency.




# floor to daily frequency
result = sr.dt.floor(freq = 'D')
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.floor() function has successfully floored the datetime values in the given series object to the specified frequency.

Example #2 : Use Series.dt.floor() function to floor the datetime data of the given series object to the specified frequency.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range('2012-12-31 09:45', periods = 5, freq = 'T',
                            tz = 'Asia / Calcutta'))
  
# 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)

Output :



Now we will use Series.dt.floor() function to floor the datetime values in the given series object to Hourly frequency.




# floor to hourly frequency
result = sr.dt.floor(freq = 'H')
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.floor() function has successfully floored the datetime values in the given series object to the specified frequency.

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