Python | Панды Series.dt.ceil

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.ceil() function perform ceil operation on the data to the specified freq.

Syntax: Series.dt.ceil(*args, **kwargs)
Parameter :
freq : The frequency level to ceil the index to
Returns : DatetimeIndex, TimedeltaIndex, or Series

Example #1: Use Series.dt.ceil() function to ceil the datetime data of the given series object to the specified frequency.

Выход :

Now we will use Series.dt.ceil() function to ceil the datetime values in the given series object to Daily frequency.

# ceil to daily frequency
result = sr.dt.ceil(freq = "D")
  
# print the result
print(result)

Выход :

As we can see in the output, the Series.dt.ceil() function has successfully ceiled the datetime values in the given series object to the specified frequency.

Example #2 : Use Series.dt.ceil() function to ceil the datetime data of the given series object to the specified frequency.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2012-12-31 09:45", periods = 5, freq = "T",
                            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.ceil() function to ceil the datetime values in the given series object to Hourly frequency.

# ceil to hourly frequency
result = sr.dt.ceil(freq = "H")
  
# print the result
print(result)

Выход :

As we can see in the output, the Series.dt.ceil() function has successfully ceiled the datetime values in the given series object to the specified frequency.

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Python | Панды Series.dt.ceil

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