Python | Pandas Series.dt.normalize

Опубликовано: 27 Марта, 2022

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.normalize() function convert times to midnight. The time component of the date-time is 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: Series.dt.normalize(*args, **kwargs)
Parameter : None
Returns : DatetimeArray, DatetimeIndex or Series

Example #1: Use Series.dt.normalize() function to convert the times in the given series object to midnight.

Выход :

Now we will use Series.dt.normalize() function to convert the times to midnight.

# convert to midnight
result = sr.dt.normalize()
  
# print the result
print(result)

Выход :

As we can see in the output, the Series.dt.normalize() function has successfully converted the times in the given series object to midnight.

Example #1: Use Series.dt.normalize() function to convert the times in the given series object to midnight.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2019-1-1 12:30", periods = 5, freq = "H",
                             tz = "Asia / Calcutta"))
  
# Creating the index
idx = ["Day 1", "Day 2", "Day 3", "Day 4", "Day 5"]
  
# set the index
sr.index = idx
  
# Print the series
print(sr)

Выход :

Now we will use Series.dt.normalize() function to convert the times to midnight.

# convert to midnight
result = sr.dt.normalize()
  
# print the result
print(result)

Выход :

As we can see in the output, the Series.dt.normalize() function has successfully converted the times in the given series object to midnight.

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Python | Pandas Series.dt.normalize

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