The dt.weekofyear attribute returns a Series containing the week ordinal of the year in the underlying data of the given series object.
Example
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)
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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.
# 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)
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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.
# return the week ordinal # of the year result = sr.dt.weekofyear
# print the result print(result)
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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.