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To convert PeriodIndex object to Timestamp, use the PeriodIndex.to_timestamp() method.At first, import the required libraries −import pandas as pdCreate a PeriodIndex object −periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y")Display PeriodIndex object −print("PeriodIndex...", periodIndex) Convert PeriodIndex to timestamp −print("PeriodIndex object to timestamp...", periodIndex.to_timestamp())ExampleFollowing 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', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y") # Display PeriodIndex object print("PeriodIndex...", ... Read More
To convert the PeriodArray to the specified frequency, use the periodIndex.asfreq() method.At first, import the required libraries −import pandas as pdCreate a PeriodIndex object −periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y")Display PeriodIndex object −print("PeriodIndex...", periodIndex) Convert to the specified frequency. We have set the frequency as the parameter of the asfreq() −print("Convert..", periodIndex.asfreq('M'))ExampleFollowing 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', ... Read More
To get the year from the PeriodIndex object, use the PeriodIndex.year property.At first, import the required libraries −import pandas as pdCreate a PeriodIndex object. 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...", periodIndex) Display PeriodIndex frequency −print("PeriodIndex frequency object...", periodIndex.freq)Display year from the PeriodIndex object −print("The year from the PeriodIndex object...", periodIndex.year) ExampleFollowing 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 ... Read More
To get the day of the week from the PeriodIndex object, use the PeriodIndex.weekday property.At first, import the required libraries −import pandas as pdCreate 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...", periodIndex) Display day of the week from the PeriodIndex object. The day of the week with Monday=0, Tuesday=1 ... Sunday=6 −print("The day of week from the PeriodIndex object...", periodIndex.weekday)ExampleFollowing is the code −import pandas as pd # Create a PeriodIndex object # PeriodIndex is an ... Read More
To get the week of the period from the PeriodIndex object, use the PeriodIndex.week property.At first, import the required libraries −import pandas as pdCreate a PeriodIndex object: −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...", periodIndex) Display week from the PeriodIndex object −print("The week from the PeriodIndex object...", periodIndex.week)ExampleFollowing 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', ... Read More
To get the seconds of the period from the PeriodIndex object, use the PeriodIndex.second property.At first, import the required libraries −import pandas as pdCreate 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="S")Display PeriodIndex object −print("PeriodIndex...", periodIndex) Display seconds from the PeriodIndex object −print("The seconds from the PeriodIndex object...", periodIndex.second)ExampleFollowing 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 ... Read More
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 pdCreate 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...", periodIndex) Display the quarter of the date from the PeriodIndex object −print("The quarter of the date from the PeriodIndex object...", periodIndex.quarter)ExampleFollowing is the code −import pandas as pd # Create a PeriodIndex object # PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods ... Read More
To get the month number of the period from the PeriodIndex object, use the PeriodIndex.month property.At first, import the required libraries −import pandas as pdCreate a PeriodIndex object −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 frequency −print("PeriodIndex frequency object...", periodIndex.freq) Display month number from the PeriodIndex object. The month id displayed as January=1, February=2 ... December=12 −print("The month number from the PeriodIndex object...", periodIndex.month)ExampleFollowing 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 ... Read More
To get the minute of the period from the PeriodIndex object, use the PeriodIndex.minute property.At first, import the required libraries −import pandas as pdCreate 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...", periodIndex) Display minute from the PeriodIndex object −print("The minute from the PeriodIndex object...", periodIndex.minute)ExampleFollowing 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 ... Read More
To indicate if the date from the PeriodIndex object belongs to a leap year, use the periodIndex.is_leap_year property.At first, import the required libraries −import pandas as pdCreate a PeriodIndex object −periodIndex = pd.PeriodIndex(['2021-09-25 07:50:35', '2019-10-30 04:35:45', '2016-07-15 02:25:15', '2020-06-25 09:20:55'], freq="T")Display PeriodIndex object −print("PeriodIndex...", periodIndex) Check whether the date is a leap year −print("Whether the date is a leap year?", periodIndex.is_leap_year)ExampleFollowing 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 = ... Read More