Python | Pandas Series.dt.second

NumPy | Python Methods and Functions

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.





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