If you’re looking to create a stem and leaf plot in Python, you’re in the right place. In this article, we’ll cover everything you need to know about creating this plot using Python, including the necessary libraries, functions, and syntax.

What is a Stem and Leaf Plot

A stem-and-leaf plot is a type of data visualization that shows the distribution of a dataset. It’s similar to a histogram, but instead of bars, a stem and leaf plot uses digits to represent the data. The “stem” represents the digits that are shared by all the numbers in the dataset, while the “leaves” represent the remaining digits.

Example: Stem and Leaf Plot in Python

Here’s an example of how to create a stem-and-leaf plot using the stemgraphic library in Python:

				
					import stemgraphic as sg

# Create a list of data
data = [12, 25, 27, 29, 31, 35, 36, 37, 38, 39, 41, 43, 44, 46, 50, 52, 53, 56, 57, 59]

# Create the stem and leaf plot
sg.stem_graphic(data)

Output: 

stem and leaf

In this example, we first import the stemgraphic library using the alias sg for brevity. Then, we create a list of data that we want to plot.

Next, we create the plot using the stem_graphic function from the stemgraphic library. We pass in the data as an argument to the function.

The stem_graphic function automatically splits the data into stems and leaves and creates the plot. The stems are listed vertically on the left side of the plot, and the leaves are listed horizontally next to each stem.

Finally, we run the script and the plot is displayed.

Note: The stemgraphic library is not included in the standard Python distribution and needs to be installed separately. You can install it using pip: pip install stemgraphic.

Wrap up

To learn more check out the:
http://stemgraphic.org/doc/index.html


Thanks for reading. Happy coding!