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.to_timestamp() function return the Timestamp representation of the Period at the target frequency at the specified end (how) of the Period.
Syntax : Period.to_timestamp()
Parameters :
freq : Target frequency. Default is ‘D’ if self.freq is week or longer and ‘S’ otherwise
how : ‘S’, ‘E’. Can be aliased as case insensitive ‘Start’, ‘Finish’, ‘Begin’, ‘End’Return : Timestamp
Example #1: Use Period.to_timestamp() function to return the given period object as a Timestamp object in the specified frequency.
# 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.to_timestamp() function to return the given period object as a timestamp object.
# return as a timestamp in the specified frequency. # 'M' represents monthly frequency prd.to_timestamp(freq ='M') |
Output :
As we can see in the output, the Period.to_timestamp() function has returned the given period object as a timestamp in the specified frequency.
Example #2: Use Period.to_timestamp() function to return the given period object as a Timestamp object in the specified frequency.
# 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.to_timestamp() function to return the given period object as a timestamp object.
# return as a timestamp in the specified frequency. # 'T' represents minutely frequency prd.to_timestamp(freq ='T') |
Output :
As we can see in the output, the Period.to_timestamp() function has returned the given period object as a timestamp in the specified frequency.
