To return Index with duplicate values removed except the first occurrence, use the index.drop_duplicates() method. Use the keep parameter with value first.At first, import the required libraries −import pandas as pdCreating the index with some duplicates −index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Airplane']) Display the index −print("Pandas Index with duplicates...", ... Read More

To make new Index with passed list of labels deleted, use the index.drop() method. Pass the list of labels in it.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index(['Car', 'Bike', 'Truck', 'Ship', 'Airplane']) Display the index −print("Pandas Index...", index)A list containing labels to be ... Read More

To make new Pandas Index with deleting multiple index elements, use the index.delete() method. Set the multiple index elements in it.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([15, 25, 35, 45, 55, 75, 95])Display the index −print("Pandas Index...", index)Deleting multiple indexes at 3rd ... Read More

To make new Pandas Index with passed location deleted, use the index.delete() method.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([15, 25, 35, 45, 55]) Display the index −print("Pandas Index...", index)Deleting a single index at 3rd position i.e. index 2 −print("Remaining Index after deleting ... Read More

To return the int position of the largest value in the Index, use the index.argmax() method.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) Display the index −print("Pandas Index...", index)Get the int position of the largest ... Read More

To return the int position of the smallest value in the Index, use the index.argmin() method.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) Display the index −print("Pandas Index...", index)Get the int position of the smallest ... Read More

To return whether all elements in the index are True, use the index.any() method in Pandas.At first, import the required libraries −import pandas as pdCreating the index with some True (non-zero) and False (zero) elements −index = pd.Index([15, 25, 0, 0, 55]) Display the index −print("Pandas Index...", index)Return True if ... Read More

To return whether all elements in the index are True, use the index.all() method in Pandas.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([15, 25, 35, 45, 55]) Display the index −print("Pandas Index...", index)Return True if all the elements in the index are True ... Read More

To return the memory usage of the Index values, use the index.memory_usage() method in Pandas.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([15, 25, 35, 45, 55]) Display the index −print("Pandas Index...", index)Get the memory usage of the values −print("The memory usage...", index.memory_usage()) ExampleFollowing ... Read More

To check if the index is empty with 0 elements, use the index.empty property in Pandas.At first, import the required libraries −import pandas as pdCreating the index −index = pd.Index([]) Display the index −print("Pandas Index...", index)Check for empty index −print("Is the index empty?", index.empty) ExampleFollowing is the code −import pandas as ... Read More