Pandas Series dt.weekofyear Method | Get Week of Year in Pandas Series

The dt.weekofyear attribute returns a Series containing the week ordinal of the year in the underlying data of the given series object.

Example

Python3

import pandas as pd
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'])
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
sr.index = idx
sr = pd.to_datetime(sr)
result = sr.dt.weekofyear
print(result)

Output:

Syntax

Syntax: Series.dt.weekofyear 

Parameter:  None 

Returns: Series containing the week ordinal

How to Extract Week of the Year From Date in Pandas Series

To extract the week of the year from the date in the Pandas Series we use the dt.weekofyear attribute of the Pandas library in Python.

Let us understand it better with an example:

Example:

Use the Series.dt.weekofyear attribute to return the week ordinal of the year in the underlying data of the given Series object.

Python3

# 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)

Output :

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

Python3

# return the week ordinal
# of the year
result = sr.dt.weekofyear

# print the result
print(result)

Output :

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