Pandas Series dt.nanosecond | Get Nanoseconds From DateTime Series

Python | Pandas Series.dt.second

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.second attribute return a numpy array containing the second of the datetime in the underlying data of the given series object.

Syntax: Series.dt.second

Parameter : None

Returns : numpy array

Example #1: Use Series.dt.second attribute to return the seconds of the datetime in the underlying data of the given Series object.

# importing pandas as pd 
import pandas as pd 
  
# Creating the Series 
sr = pd.Series(['2012-10-21 09:30:45', '2019-7-18 12:30:21', '2008-02-2 10:30:38', 
               '2010-4-22 09:25:19', '2019-11-8 02:22:44']) 
  
# 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.second attribute to return the seconds of the datetime in the underlying data of the given Series object.

# return the second 
result = sr.dt.second 
  
# print the result 
print(result) 

Output :

As we can see in the output, the Series.dt.second attribute has successfully accessed and returned the second of the datetime in the underlying data of the given series object.

Example #2 : Use Series.dt.second attribute to return the seconds of the datetime in the underlying data of the given Series object.

# importing pandas as pd 
import pandas as pd 
  
# Creating the Series 
sr = pd.Series(pd.date_range('2012-12-12 12:12', periods = 5, freq = 'H')) 
  
# 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.second attribute to return the seconds of the datetime in the underlying data of the given Series object.

# return the second 
result = sr.dt.second 
  
# print the result 
print(result) 

Output :

As we can see in the output, the Series.dt.second attribute has successfully accessed and returned the second of the datetime in the underlying data of the given series object.

Pandas Series dt.nanosecond | Get Nanoseconds From DateTime Series

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Shubham__Ranjan

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