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Slicing and indexing are two fundamental concepts in Python. They help you access specific elements in a sequence, such as a list, tuple or string. By using these techniques, you can extract substrings from strings, filter lists, and extract columns from 2D lists, among other things.
Indexing in Python is a way to refer to the individual items within an iterable by their position. In other words, you can directly access your elements of choice within an iterable and do various operations depending on your needs.
The Python list index() method returns the index of the specified element in the list. Syntax. list.index(element). Parameter Values. Parameter, Description.
The index() method returns the position at the first occurrence of the specified value. Syntax. list.index (elmnt) Parameter Values. More Examples. Example. What is the position of the value 32: fruits = [4, 55, 64, 32, 16, 32] x = fruits.index (32) Try it Yourself » Note: The index() method only returns the first occurrence of the value.
Indexing and selecting data. #. The axis labeling information in pandas objects serves many purposes: Identifies data (i.e. provides metadata) using known indicators, important for analysis, visualization, and interactive console display. Enables automatic and explicit data alignment.
Python's built-in index() function is a useful tool for finding the index of a specific element in a sequence. This function takes an argument representing the value to search for and returns the index of the first occurrence of that value in the sequence.
Indexing is used to access individual elements from the sequence. And it supports both positive and negative indexing. Indexing raise IndexError for out-of-range indices. Slicing has an equivalent range function that will help you to understand which will be selected during the slicing operation.