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 Period.start_time attribute returns a Timestamp object containing the start time of the given period object.
Syntax : Period.start_time
Parameters : None
Return : Timestamp object
Example #1: Use Period.start_time attribute to find the start time for the given Period object.
# importing pandas as pd import pandas as pd   # Create the Period object prd = pd.Period(freq ='S', year = 2000, month = 2, day = 22,                          hour = 8, minute = 21, second = 24)   # Print the Period object print(prd) |
Output :
Now we will use the Period.start_time attribute to find the start time for prd object.
# return the start time prd.start_time |
Output :
As we can see in the output, the Period.start_time attribute has returned a Timestamp object which contains the date value as well as the start time of the given period object.
Example #2: Use Period.start_time attribute to find the start time for the given Period object.
# importing pandas as pd import pandas as pd   # Create the Period object prd = pd.Period(freq ='S', year = 2006, month = 10,                hour = 15, minute = 49, second = 17)   # Print the object print(prd) |
Output :
Now we will use the Period.start_time attribute to find the start time for prd object.
# return the start time prd.start_time |
Output :
As we can see in the output, the Period.start_time attribute has returned a Timestamp object which contains the date value as well as the start time of the given period object.
