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Python | Pandas Series.dt.weekofyear

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Series.dt can be used to access series values ​​as datetimelike and return multiple properties. Series.dt.weekofyear Pandas Series.dt.weekofyear returns an empty array containing the ordinal of the week in the year in base data of this series object.

Syntax: Series.dt.weekofyear

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.weekofyear attribute to return the ordinal week of the year in the underlying data of this Series object.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series ([ ’2012-10-21 09:30’ , ’ 2019-7- 18 12: 30’ , ’2008-02-2 10: 30’ ,

  ’ 2010-4-22 09:25’ , ’2019-11-8 02:22’ ])

 
# Create index

idx = [ ’ Day 1’ , ’Day 2’ , ’ Day 3’ , ’Day 4’ , ’Day 5’ ]

  
# set index

sr.index = idx

 
# Convert base data to date and time

sr = pd.to_datetime ( sr)

 
# Print series

print (sr)

Output:

We will now use the Series.dt.weekofyear attribute to return the week ordinal of the year in the underlying data of this Series object.

# return the ordinal number of the week
# of the year

result = sr.dt.weekofyear

 
# print the result

print (result)

Output:

As we can see from the output, the Series.dt.weekofyear attribute successfully accessed and returned the week of the year in the underlying data of this series object.

Example # 2: Use the Series.dt.weekofyear attribute to return the ordinal week of the year in the underlying data of this Series object.

# import pandas as pd

import pandas as pd

 
# Create a series

sr = pd.Series (pd.date_range ( ’2012-12-12 12: 12’

  periods = 5 , freq = ’M’ ))

 
# Create index

idx = [ ’Day 1’ , ’Day 2’ < / code> , ’Day 3’ , ’ Day 4’ , ’Day 5’ ]

 
# set index

sr.index = idx

 
# Print series

print (sr)

Output:

Now we will use the Series.dt attribute .weekofyear to return the week ordinal of the year in the underlying data of this Series object.

Output:

As we can see from the output, the Series.dt.weekofyear attribute successfully accessed and returned the ordinal of the week of the year in the underlying data of this series object.

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# return the ordinal number of the week
#years

result = sr .dt.weekofyear

 
# print result

print (result)