To form the Union of two Index objects, use the index1.union(index2) method in Pandas. At first, import the required libraries −import pandas as pdCreating two Pandas index −index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([80, 65, 60, 70, 55])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas ... Read More

To form the intersection of two Index objects, use the index1.intersection(index2) method in Pandas. To sort the result, use the sort parameter.At first, import the required libraries −import pandas as pdCreating Pandas index1 and index2 −index1 = pd.Index([4, 3, 2, 1]) index2 = pd.Index([8, 2, 6, 4])Display the Pandas index1 ... Read More

To get day of the year from Period object, use the period.dayofyear property.At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating two Period objects −period1 = pd.Period("2020-09-23") period2 = pd.Period(freq="D", year = 2021, month = 7, day = 16, hour = 2, minute ... Read More

To get day of the week that a Period falls on, use the period.dayofweek propertyAt first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating two Period objects −period1 = pd.Period("2021-09-18") period2 = pd.Period(freq ='D', year = 2021, month = 9, day = 22, ... Read More

To form the intersection of two Index objects, use the index1.intersection(index2) method in Pandas. At first, import the required libraries −import pandas as pdCreating two Pandas index −index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([80, 65, 60, 70, 55])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas ... Read More

To get day of the month that a Period falls on, use the period.day property.At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Creating two Period objects−period1 = pd.Period("2021-09-18") period2 = pd.Period(freq ='D', year = 2021, month = 9, day = 22, hour = ... Read More

To append a collection of Index options together, use the append() method in Pandas. At first, import the required libraries −import pandas as pdCreating Pandas index −index1 = pd.Index([10, 20, 30, 40, 50]) Display the Pandas index −print("Pandas Index...", index1)Create a new index to be appended −index2 = pd.Index([60, 70, ... Read More

To get the Total seconds in the duration from the Timedelta object, use the timedelta.total_seconds() method.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s, Create a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ... Read More

To sort index values and also return the indices that would sort the index, use the index.sort_values(). The return_indexer parameter is set to be True.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 95, 110, 90, 30]) Display the Pandas index −print("Pandas ... Read More

To convert the Timedelta to a NumPy timedelta64, use the timedelta.to_timedelta64() method.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Convert the Timedelta to a NumPy timedelta64 −timedelta.to_timedelta64() ... Read More