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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 position i.e. index 2 and 5th position i.e. index 4 −print("Remaining Index after deleting multiple index elements...", index.delete([2, 4]))ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 35, 45, 55, 75, 95]) # Display the index print("Pandas Index...", index) # ... 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 an index at location 3rd (index 2)...", index.delete(2)) ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 35, 45, 55]) # Display the index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in ... 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 value in the Index −print("Get the int position of the largest value in the Index...", index.argmax()) ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) # Display the index print("Pandas Index...", index) # ... 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 value in the Index −print("Get the int position of the smallest value in the Index...", index.argmin()) ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 55, 10, 100, 70, 35, 40, 55]) # Display the index print("Pandas Index...", index) # ... 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 any element in the index is True: −print("Check whether any element in the index is True...", index.any()) ExampleFollowing is the code −import pandas as pd # Creating the index with some True (non-zero) and False (zero) elements index = pd.Index([15, 25, 0, 0, 55]) # Display the index ... 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 −print("Check whether all elements are True...", index.all()) ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 35, 45, 55]) # Display the index print("Pandas Index...", index) # Return a tuple of the shape of the underlying data print("A tuple of ... 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 is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 35, 45, 55]) # Display the index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in the index...", index.size) # Return a tuple of ... 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 pd # Creating the index index = pd.Index([]) # Display the index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in the index...", index.size) # check for empty index print("Is the index empty?", index.empty)OutputThis will produce the following code ... Read More
To return the Number of elements in the underlying Index data, use the index.size property 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 the number of elements in the Index −print("Number of elements in the index...", index.size) ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 35, 45, 55]) # Display the index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in the index...", index.size) ... Read More
To return the Number of dimensions of the underlying data, use the index.ndim property.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 dimensions of the data −print("Return the dimensions...", index.ndim) ExampleFollowing is the code −import pandas as pd # Creating the index index = pd.Index([15, 25, 35, 45, 55]) # Display the index print("Pandas Index...", index) # Return an array representing the data in the Index print("Array...", index.values) # Return a tuple of the shape of the underlying data ... Read More