Among its many features, one distinct feature of Python is its ability to handle and manipulate data through the use of Series and DataFrames.
A Series is a one-dimensional labeled array capable of holding any data type. Each data point in a Series can have a name attached to it. In this tutorial, we will learn how to get the name of a series in Python.
Step 1: Importing Necessary Libraries
The first step in order to get the name of a series in Python is to import the necessary libraries. Python comes with a pre-built library called ‘pandas’ that provides the necessary functionality for manipulating series and dataframes. Let’s import pandas:
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import pandas as pd |
Step 2: Creating a Series
To retrieve the name of a series, a series must first be created. Here is how a series can be created and named:
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s = pd.Series([1, 2, 3, 4, 5], name = 'Sample Series') |
In the above code, a series called ‘Sample Series’ is created with the numbers 1 to 5 as data points.
Step 3: Getting the Name of the Series
Getting the name of a series in Python is very straightforward. The ‘name’ attribute of the series object can be accessed as follows:
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series_name = s.name |
The variable ‘series_name’ now stores the name of the series ‘s’.
Step 4: Displaying the Name of the Series
Finally, print the series name using the print() function:
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print(series_name) |
Upon executing this piece of code, ‘Sample Series’ will be the output:
Sample Series
Full Code
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import pandas as pd s = pd.Series([1, 2, 3, 4, 5], name = 'Sample Series') series_name = s.name print(series_name) |
Conclusion
Getting and manipulating series names is easy in Python, all thanks to the Pandas library. Knowing how to handle series and dataframes efficiently is an essential skill for any data analyst/scientist. This tutorial provides a brief understanding of how to get a series name in Python.