Series.dt can be used to access series values ​​as datetimelike and return multiple properties. Series.dt.second Pandas Series.dt.second returns an empty array containing the second of the date and time in base data of this series object.

Syntax: Series.dt.second

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.second attribute to return the seconds of the date and time in the underlying data of this Series object.

# import pandas as pd import pandas as pd   # Create 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` ])   # Create index idx = [ `Day 1` , ` Day 2` , `Day 3` , `Day 4` , ` Day 5` ]    # set index sr.index = idx   # Convert baseline data to date and time sr = pd.to_datetime (sr)   # Print series print (sr)

Output:

Now we will use the Series.dt.second attribute to return the seconds of the date and time in the underlying data of this Series object.

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

Output:

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

Example # 2: Use the Series.dt.second attribute to return the seconds of the date and time in the underlying data of this Series object.

# import pandas as pd import   pandas as pd   # Create a series sr = pd.Series (pd .date_range ( `2012-12-12 12: 12` , periods = 5 , freq = `H` ))    # Create index idx = [ `Day 1` , ` Day 2 ` , ` Day 3` , `Day 4` , ` Day 5` ]   # set index sr.index = idx   # Print series print (sr)

Output:

We will now use the Series.dt.second attribute to return the seconds of the date and time in the underlying data of this Series object.

# return the second result = sr.dt.second < / code>   # print the result print (result)

Output:

How we can see from the output that the Series.dt.second attribute successfully accessed and returned the second of the datetime in the underlying data of the given series object.