Python | Pandas Index.delete()

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Index.delete() function returns a new object with the passed locations deleted. We can pass more than one locations to be deleted in the form of list.

Syntax: Index.delete(loc) Parameters : loc : Scalar/List of Indices Returns : new_index : Index

Example #1: Use Index.delete() function to delete the first value in the Index. Python3

# importing pandas as pd
import pandas as pd

# Creating the Index
idx = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
                'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])

# Print the Index
idx

Output : Let's delete the month of 'Jan'. It is present at the 0th index so we will pass 0 as an argument to the function. Python3 1==

# delete the first label in the given Index
idx.delete(0)

Output : As we can see in the output, the function has returned an object with its first label deleted.   Example #2: Use Index.delete() function to delete more than one labels in the Index. Python3

# importing pandas as pd
import pandas as pd

# Creating the Index
idx = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
                'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])

# Print the Index
idx

Output : Let's delete the second, third, fourth and fifth indices from the Index. We pass a list of values to be deleted to the function. Python3 1==

# to delete values present at 2nd, 3rd, 4th and 5th place in the Index.
idx.delete([2, 3, 4, 5])

Output : As we can see the labels corresponding to the passed values in the Index has been deleted.