Python Pandas Period.start_time Attribute

Pandas Period.start_time Attribute:

The Period.start_time attribute of the Pandas module gives a Timestamp object that contains the start time of the specified period object.

Syntax:

Period.start_time

Parameters: It has no arguments

Return Value:

The Timestamp object which contains the start time of the specified period object is returned by the Period.start_time attribute.

Pandas Period.start_time Attribute in Python

Example1

Here, the Period.start_time attribute gives a Timestamp object containing both the date value and the start time of the given period object.

Approach:

Import pandas module using the import keyword.
Pass some random frequency(here S= secondly frequency), year, month, day, hour, minute, second as the arguments to the Period() function of the pandas module to get the Period object
Print the given period object
Apply start_time() attribute on the above period object to get the start time of the given period object.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random frequency(here S= secondly frequency), year, month, day,
# hour, minute, second as the arguments to the Period() function
# of the pandas module to get the Period object
period_obj = pd.Period(freq ='S', year = 2021, month = 3, day = 15,
                         hour = 5, minute = 25, second = 16)
  
# Print the given period object
print("The given period object:")
print(period_obj)
print()
# Apply start_time() attribute on the above period object to get the 
# start time of the given period object.
print("The start time of the given period object:")
period_obj.start_time

Output:

The given period object:
2021-03-15 05:25:16

The start time of the given period object:
Timestamp('2021-03-15 05:25:16')

Example2

We can also pass freq = H( hourly frequency), T, S, etc.

Approach:

Import pandas module using the import keyword.
Pass some random frequency(here S= secondly frequency), year, month, day, hour, minute, second as the arguments to the Period() function of the pandas module to get the Period object
Print the given period object
Apply start_time() attribute on the above period object to get the start time of the given period object.
The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random frequency(here S= secondly frequency), year, month, day,
# hour, minute, second as the arguments to the Period() function
# of the pandas module to get the Period object
period_obj = pd.Period(freq ='S', year = 2015, month = 5, day = 16,
                         hour = 12, minute = 28, second = 10)
  
# Print the given period object
print("The given period object:")
print(period_obj)
print()
# Apply start_time() attribute on the above period object to get the 
# start time of the given period object.
print("The start time of the given period object:")
period_obj.start_time

Output:

The given period object:
2015-05-16 12:28:10

The start time of the given period object:
Timestamp('2015-05-16 12:28:10')

Pandas Period.start_time Attribute in Python

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