Skip to content
Related Articles

Related Articles

Python | Pandas Series.dt.round

View Discussion
Improve Article
Save Article
Like Article
  • Last Updated : 20 Mar, 2019

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.round() function perform round operation on the data to the specified freq.

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

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

Returns : DatetimeIndex, TimedeltaIndex, or Series

Example #1: Use Series.dt.round() function to round 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.round() function to round the datetime values in the given series object to Daily frequency.




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

Output :

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

Example #2 : Use Series.dt.round() function to round 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.round() function to round the datetime values in the given series object to Hourly frequency.




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

Output :

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


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!