Python | Pandas Index.insert()
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.
Index.insert() function make new Index inserting new item at location. This function also follows Python
list.append() semantics for negative values. If the negative value are passed then it start from the other end.
Syntax: Index.insert(loc, item)
loc : int
item : object
Returns : new_index : Index
Example #1: Use
Index.insert() function to insert a new value in the Index.
Now insert ‘Great_Dane’ at the 1st index.
As we can see in the output, the
Index.insert() function has inserted the passed value at the desired location.
Example #2: Use
Index.insert() function to insert a value into the Index at the second position from the last in the Index.
Now insert ‘Great_Dane’ at the 1st index from the last.
As we can see in the output, the passed value has been inserted into the Index at the desired location.