Python | Pandas Timestamp.to_period

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 Timestamp.to_period() function return a period object for which the given Timestamp is an observation.

Syntax :Timestamp.to_period() Parameters : freq : time series frequency Return : period object

Example #1: Use Timestamp.to_period() function to convert the given Timestamp to a period object. Python3

# importing pandas as pd
import pandas as pd

# Create the Timestamp object
ts = pd.Timestamp(year = 2011,  month = 11, day = 21, 
                  hour = 10, second = 49, tz = 'US/Central') 

# Print the Timestamp object
print(ts)

Output : Now we will use the Timestamp.to_period() function to convert the given Timestamp to period. Python3

# convert to period
# we have applied monthly frequency
ts.to_period(freq ='M')

Output : As we can see in the output, the Timestamp.to_period() function has converted the given Timestamp object into a period object.   Example #2: Use Timestamp.to_period() function to convert the given Timestamp to a period object. Python3

# importing pandas as pd
import pandas as pd

# Create the Timestamp object
ts = pd.Timestamp(year = 2009, month = 5, day = 31, 
                  hour = 4, second = 49, tz = 'Europe/Berlin')

# Print the Timestamp object
print(ts)

Output : Now we will use the Timestamp.to_period() function to convert the given Timestamp to period. Python3

# convert to period
# we have applied minutely frequency
ts.to_period(freq ='T')

Output : As we can see in the output, the Timestamp.to_period() function has converted the given Timestamp object into a period object.