Python | Pandas Index.delete() Last Updated : 16 Dec, 2018 Summarize Comments Improve Suggest changes Share Like Article Like Report 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. Comment More infoAdvertise with us Next Article Python | Pandas Index.equals() S Shubham__Ranjan Follow Improve Article Tags : Technical Scripter Python Python-pandas Python pandas-indexing Practice Tags : python Similar Reads Python | Pandas Index.dtype Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects. Pandas Index.dtype attribute return the data type (dtype) of the underlying data of the given Index object. Syntax: Index.dtype Parameter : None Re 2 min read Python | Pandas Index.data Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects. Pandas Index.data attribute return the data pointer of the underlying data of the given Index object. Syntax: Index.data Parameter : None Returns : 2 min read Python | Pandas Index.equals() 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.equals() function determine if two Index objects contains the same elemen 2 min read Python | Pandas Index.drop() 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.drop() function make new Index with passed list of labels deleted. The fu 2 min read Python | Pandas Index.dtype_str Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects. Pandas Index.dtype_str attribute return the data type (dtype) of the underlying data of the given Index object as a string. Syntax: Index.dtype_str 2 min read Python | Pandas Index.flags Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects. Pandas Index.flags attribute return the status of all the flags for the given Index object. Syntax: Index.flags Parameter : None Returns : status o 2 min read Like