Python | Pandas Series.dt.weekday

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.weekday attribute return the day of the week. It is assumed the week starts on Monday, which is denoted by 0 and ends on Sunday which is denoted by 6.

Syntax: Series.dt.weekday
Parameter : None
Returns : numpy array

Example #1: Use Series.dt.weekday attribute to return the day of week for the given datetime in the underlying data of the given Series object.

Выход :

Now we will use Series.dt.weekday attribute to return the day of week for the given datetime in the underlying data of the given Series object.

# return the day of week
result = sr.dt.weekday
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.weekday attribute has successfully accessed and returned the day of week in the underlying data of the given series object.

Example #2 : Use Series.dt.weekday attribute to return the day of week for the given datetime in the underlying data of the given Series object.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2012-12-12 12:12", periods = 5, freq = "M"))
  
# 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.weekday attribute to return the day of week for the given datetime in the underlying data of the given Series object.

# return the day of week
result = sr.dt.weekday
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.weekday attribute has successfully accessed and returned the day of week in the underlying data of the given series object.

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Python | Pandas Series.dt.weekday

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