To create a PeriodIndex, use the pandas.PeriodIndex() method. Get the days of the week using the PeriodIndex.dayofweek property.
At first, import the required libraries −
import pandas as pd
Create a PeriodIndex object. PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time. We have set the frequency using the "freq" parameter −
periodIndex = pd.PeriodIndex(['2018-07-25', '2019-10-30', '2020-11-20', '2021-09-15', '2022-03-12', '2023-06-18'], freq="D")
Display PeriodIndex object −
print("PeriodIndex...\n", periodIndex)
Display day of the week from the PeriodIndex object. Days of week are displayed as Monday=0, Tuesday=1 ... Sunday=6 −
print("\nDays of the week from the PeriodIndex...\n", periodIndex.dayofweek)Example
Following is the code −
import pandas as pd
# Create a PeriodIndex object
# PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time
# We have set the frequency using the "freq" parameter
periodIndex = pd.PeriodIndex(['2018-07-25', '2019-10-30', '2020-11-20',
'2021-09-15', '2022-03-12', '2023-06-18'], freq="D")
# Display PeriodIndex object
print("PeriodIndex...\n", periodIndex)
# Display PeriodIndex frequency
print("\nPeriodIndex frequency...\n", periodIndex.freq)
# Display day from the PeriodIndex object
print("\nThe number of days from the PeriodIndex...\n", periodIndex.day)
# Display day of the week from the PeriodIndex object
# Days of week are displayed as Monday=0, Tuesday=1 ... Sunday=6
print("\nDays of the week from the PeriodIndex...\n", periodIndex.dayofweek)Output
This will produce the following code −
PeriodIndex... PeriodIndex(['2018-07-25', '2019-10-30', '2020-11-20', '2021-09-15', '2022-03-12', '2023-06-18'], dtype='period[D]') PeriodIndex frequency... <Day> The number of days from the PeriodIndex... Int64Index([25, 30, 20, 15, 12, 18], dtype='int64') Days of the week from the PeriodIndex... Int64Index([2, 2, 4, 2, 5, 6], dtype='int64')