To display the quarter of the date from the PeriodIndex object, use the PeriodIndex.quarter 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 −
periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2021-07-15 02:55:15', '2022-06-25 09:40:55'], freq="T")
Display PeriodIndex object −
print("PeriodIndex...\n", periodIndex)
Display the quarter of the date from the PeriodIndex object −
print("\nThe quarter of the date from the PeriodIndex object...\n", periodIndex.quarter)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(['2021-09-25 07:30:35', '2019-10-30 04:15:45',
'2021-07-15 02:55:15', '2022-06-25 09:40:55'], freq="T")
# Display PeriodIndex object
print("PeriodIndex...\n", periodIndex)
# Display PeriodIndex frequency
print("\nPeriodIndex frequency object...\n", periodIndex.freq)
# Display PeriodIndex frequency as string
print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr)
# Display the quarter of the date from the PeriodIndex object
print("\nThe quarter of the date from the PeriodIndex object...\n", periodIndex.quarter)Output
This will produce the following code −
PeriodIndex... PeriodIndex(['2021-09-25 07:30', '2019-10-30 04:15', '2021-07-15 02:55', '2022-06-25 09:40'], dtype='period[T]') PeriodIndex frequency object... <Minute> PeriodIndex frequency object as a string... T The quarter of the date from the PeriodIndex object... Int64Index([3, 4, 3, 2], dtype='int64')