Python | Pandas DatetimeIndex.second

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas DatetimeIndex.second attribute outputs an Index object containing the second values present in each of the entries of the DatetimeIndex object.

Syntax: DatetimeIndex.second Return: Index containing seconds.

Example #1: Use DatetimeIndex.second attribute to find the seconds value present in the DatetimeIndex object. Python3

# importing pandas as pd
import pandas as pd

# Create the DatetimeIndex
didx = pd.DatetimeIndex(['2000-01-10 06:30:05', '2000-01-10 07:30:10',
                                                '2000-01-10 08:30:15'])

# Print the DatetimeIndex
print(didx)

Output : Now we want to find all the seconds value present in the DatetimeIndex object. Python3

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# find all the second values present in the object
didx.second

Output : As we can see in the output, the function has returned an Index object containing the second values present in each entry of the DatetimeIndex object. Here 5, 10 and 15 are the second values in the entries of the DatetimeIndex object.   Example #2: Use DatetimeIndex.second attribute to find the seconds value present in the DatetimeIndex object. Python3

# importing pandas as pd
import pandas as pd

# Create the DatetimeIndex
# Here 'S' represents secondly frequency 
didx = pd.DatetimeIndex(start ='2014-08-01 10:05:45', freq ='S', 
                              periods = 5, tz ='Asia/Calcutta')

# Print the DatetimeIndex
print(didx)

Output : Now we want to find all the seconds value present in the DatetimeIndex object. Python3

# find all the second values present in the object
didx.second

Output : As we can see in the output, the function has returned an Index object containing the second values present in each entry of the DatetimeIndex object.