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Python | Pandas Timestamp.normalize
  • Last Updated : 14 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 Timestamp.normalize() function is used to normalize Timestamp to midnight. The function perform this operation while preserving tz information.

Syntax :Timestamp.normalize()

Parameters : None

Return : Timestamp



Example #1: Use Timestamp.normalize() function to normalize the Timestamp to midnight value.




# 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.normalize() function to normalize the value in the given Timestamp to midnight value.




# normalize to midnight value
ts.isoweekday()


Output :

As we can see in the output, the Timestamp.normalize() function has normalized the given Timestamp to midnight.
 
Example #2: Use Timestamp.normalize() function to normalize the Timestamp to midnight value.




# 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.normalize() function to normalize the value in the given Timestamp to midnight value.




# normalize to midnight value
ts.isoweekday()


Output :

As we can see in the output, the Timestamp.normalize() function has normalized the given Timestamp to midnight.

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