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 DatetimeIndex.normalize() function convert times to midnight. The time component of the date-timeise converted to midnight i.e. 00:00:00. This is useful in cases, when the time does not matter. Length is unaltered. The timezones are unaffected.
Syntax: DatetimeIndex.normalize()
Return: DatetimeIndex or Series
Example #1: Use DatetimeIndex.normalize() function to normalize time.
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here 'H' represents hourly frequency idx = pd.DatetimeIndex(start ='2018-08-10 08:00', freq ='H', periods = 5, tz ='Asia/Calcutta') # Print the DatetimeIndex print(didx) |
Output :
Now we want all the time values present in the DatetimeIndex object to be normalized i.e., it gets converted to midnight time.
# normalize the time. idx.normalize() |
Output :
As we can see in the output, the function has converted all the time values in the object to midnight time.
Example #2: Use DatetimeIndex.normalize() function to normalize time.
# importing pandas as pd import pandas as pd # Create the DatetimeIndex # Here 'Q' represents quarter end frequency idx = pd.DatetimeIndex(start ='2000-01-15 08:00', freq ='Q', periods = 4, tz ='Asia/Calcutta') # Print the DatetimeIndex print(didx) |
Output :
Now we want all the time values present in the DatetimeIndex object to be normalized i.e., it gets converted to midnight time.
# normalize the time. idx.normalize() |
Output :
As we can see in the output, the function has converted all the time values in the object to midnight time.
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