Python | Pandas Series.dt.floor

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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