To return the label from the index or if not present, the previous one, use the index.asof() method in Pandas.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50, 60, 70]) Display the Pandas index −print("Pandas Index...", index)Return the label from the index or if not present, the previous one −print("Get the label from the index...", index.asof(43)) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50, 60, 70]) # Display the Pandas index print("Pandas Index...", index) # Return ... Read More

To determine if two Index objects with opposite orders are equal or not, use the equals() method.At first, import the required libraries −import pandas as pdCreating Pandas index1 and index2 −index1 = pd.Index([15, 25, 35, 45, 55, 65, 75, 85, 95]) index2 = pd.Index([95, 85, 75, 65, 55, 45, 35, 25, 15])Display the index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Check whether two index objects with opposite order equal or not −print("Are two Index objects with opposite order equal?" "", index1.equals(index2))ExampleFollowing is the code −import pandas as pd # Creating Pandas index1 and index2 index1 = pd.Index([15, 25, ... Read More

To determine if two Index objects are equal, use the equals() method.At first, import the required libraries −import pandas as pdCreating index1 and index2 −index1 = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) index2 = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55])Display the index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Check whether two index objects are equal −index1.equals(index2) ExampleFollowing is the code −import pandas as pd # Creating index1 and index2 index1 = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) index2 = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) ... Read More

To compute the symmetric difference of two Index objects and unsort the result, use the symmetric_difference() method in Pandas. To unsort, use the sort parameter and set to False.At first, import the required libraries −import pandas as pdCreating two Pandas index −index1 = pd.Index([50, 30, 20, 40, 10]) index2 = pd.Index([40, 10, 60, 20, 55])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Perform symmetric difference. Unsort the result using the "sort" parameter with value False −res = index1.symmetric_difference(index2, sort=False) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([50, 30, ... Read More

To compute the symmetric difference of two Index objects, use the index1.symmetric_difference(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([40, 10, 60, 20, 55])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Perform symmetric difference −res = index1.symmetric_difference(index2) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([40, 10, 60, 20, 55]) # Display the Pandas index1 and index2 print("Pandas Index1...", index1) print("Pandas Index2...", index2) ... Read More

To return a new Index with elements of index not in other but unsort the result, use the difference() method. Set the sort parameter to False.At first, import the required libraries −import pandas as pdCreating two Pandas index −index1 = pd.Index([30, 10, 20, 50, 40]) index2 = pd.Index([80, 40, 60, 20, 55])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Get the difference of both the indexes. Results are unsorted using the "sort" parameter with value "False" −res = index1.difference(index2, sort=False) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([30, ... Read More

To return a new Index with elements of index not in other and get the difference, use the index1.difference(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, 40, 60, 20, 55])Display the Pandas index1 and index2print("Pandas Index1...", index1) print("Pandas Index2...", index2)Get the difference of both the indexes −res = index1.difference(index2) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([80, 40, 60, 20, 55]) # Display the Pandas ... Read More

To form the Union of two Index objects with different datatypes, 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(['p', 'q', 'r', 's', 't', 'u'])Display the Pandas index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Perform union of mismatched datatypes −res = index1.union(index2) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index(['p', 'q', 'r', 's', 't', 'u']) # Display the Pandas index1 and index2 print("Pandas ... Read More

To get the second component of the Period, use the period.second property. At first, import the required libraries −import pandas as pdThe pandas.Period represents a period of time. Ccreating two Period objectsperiod1 = pd.Period("2020-09-23 05:55:30") period2 = pd.Period(freq="S", year = 2021, month = 7, day = 16, hour = 2, minute = 35, second = 10)Display the Period objectsprint("Period1...", period1) print("Period2...", period2)Get the seconds from two Period objectsres1 = period1.second res2 = period2.secondExampleFollowing is the code import pandas as pd # The pandas.Period represents a period of time # creating two Period objects period1 = pd.Period("2020-09-23 05:55:30") period2 = ... Read More

To form the intersection of two Index objects, use the index1.intersection(index2) method in Pandas. To avoid sorting the result, use the sort parameter and set it to False.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 Index2...", index2)Perform union. We have used the "sort" parameter with value ‘False’ to unsort the results −res = index1.union(index2, sort=False) ExampleFollowing is the code −import pandas as pd # Creating two Pandas index index1 = pd.Index([10, ... Read More