Creating a Series Object by Using a NumPy Array in Python
This template shows how to convert a NumPy array into a Series. First, you import the Pandas and NumPy libraries, after which you create an array containing four integer values. Then you turn the array into a series and finally you check the type of the object. Some other related topics you might be interested in are Using Attributes in Python, Indexing in Pandas Python, Position-Based and Label-Based Indexing in Python, and Dealing with Indexing in Python. The creating a Series Object by Using a NumPy Array in Python template is among the topics covered in detail in the 365 Program.
Who is it for
Any Data Scientist, Data Analyst, Data Architect, Data Engineer, Business Analysts, who are looking to manipulate arrays using the Pandas and NumPy libraries will want to use this free Jupyter Notebook template.
How it can help you
Converting between Python lists, NumPy arrays, and pandas Series is an essential skill when working with data. Here, we see how its done.
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