Python Pandas Series Method Explained with Code Examples | Python Pandas Tutorial | Pandas Series

In this tutorial, we’ll understand the Series method of Python pandas. From the definition to the practical implementation of the series() method, everything will be discussed in detail and also with the help of multiple Python code examples. What is Python Pandas Series Method? The series method is used to create a one-dimensional array that is labeled. The array can have various data like float, string, integer, etc. Features of Pandas Series 1. Labeled Indexing: In series, all the items have their specified index or label. By using them, we can easily access or modify the data. 2. Homogeneous Data: A Series should consist of data of the same type which means it supports homogenous data. 3. Flexibility: We can store various types of data in series. For instance, strings, numbers, or other complex objects that include functions or series. 4. Size Immutable: It means the direct manipulation of the number of the series elements cannot be done. The size of the series is fixed when it’s created. Examples Explaining the implementation and usage of Series Let's understand them practically in this tutorial.