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# How to Create a Stem-and-Leaf Plot in Python

A stem-and-leaf plot is a chart that displays data by splitting up each value in a dataset into a stemÂ and aÂ leaf. Itâ€™s a unique plot because it helps us visualize the shape of a distribution while still displaying the raw individual data values.

This tutorial explains how to create a stem-and-leaf plot in Python.

### Example: Stem-and-Leaf Plot in Python

Suppose we have the following dataset in Python:

```x = [32, 34, 35, 41, 44, 46, 47, 52, 52, 53, 56, 61, 62]
```

To create a stem-and-leaf plot for this dataset, we can use theÂ stemgraphic library:

`pip install stemgraphic`

Once this is installed, we can use the following code to create a stem-and-leaf plot for our dataset:

```import stemgraphic

#create stem-and-leaf plot
fig, ax = stemgraphic.stem_graphic(x)```

The way to interpret this plot is as follows:

• The number in the red box at the bottom of the plot displays the minimum number in the dataset (32).
• The number in the red box at the top of the plot displays the maximum number in the dataset (62).
• The numbers in the far left display the aggregated count of values in the plot. For example, the first row contains 2 aggregated values, the second row contains 3 aggregated values, the third row containsÂ 5 aggregated values, and so on.
• The numbers in the middle column display theÂ stems, which are 3,Â 4,Â 5, andÂ 6.
• The numbers in the far right column display theÂ leaves.

This single plot provides us with a ton of information about the distribution of values in this dataset.