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 pd
Creating the index −
index = pd.Index([15, 25, 35, 45, 55, 75, 95])
Display the index −
print("Pandas Index...\n",index)
Deleting multiple indexes at 3rd position i.e. index 2 and 5th position i.e. index 4 −
print("\nRemaining Index after deleting multiple index elements...\n", index.delete([2, 4]))
Example
Following 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...\n",index) # Return the number of elements in the Index print("\nNumber of elements in the index...\n",index.size) # Return a tuple of the shape of the underlying data print("\nA tuple of the shape of underlying data...\n",index.shape) # get the bytes in the data print("\nReturn the bytes...\n",index.nbytes) # get the dimensions of the data print("\nReturn the dimensions...\n",index.ndim) # deleting multiple indexes at 3rd position i.e. index 2 and 5th position i.e. index 4 print("\nRemaining Index after deleting multiple index elements...\n", index.delete([2, 4]))
Output
This will produce the following code −
Pandas Index... Int64Index([15, 25, 35, 45, 55, 75, 95], dtype='int64') Number of elements in the index... 7 A tuple of the shape of underlying data... (7,) Return the bytes... 56 Return the dimensions... 1 Remaining Index after deleting multiple index elements... Int64Index([15, 25, 45, 75, 95], dtype='int64')