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Python | Pandas Period.to_timestamp

  • Last Updated : 06 Jan, 2019

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.

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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.




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