Datetimeproperties object has no attribute days

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Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.day attribute return a numpy array containing the day of the datetime in the underlying data of the given series object.

Syntax: Series.dt.day

Parameter : None

Returns : numpy array

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

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)

print(sr)

Output :

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

result = sr.dt.day

print(result)

Output :

import pandas as pd

sr = pd.Series(pd.date_range('2012-12-12 12:12', 

                       periods = 5, freq = 'H'))

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

sr.index = idx

print(sr)

Output :

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

result = sr.dt.day

print(result)

Output :