Stem and leaf graph — it is a tabular view in which each data value is broken down into a “base” (first digit or numbers) and a “sheet” (usually the last digit).
Interpretations :
"17" is split into "1" (stem) and "7" (leaf) "69" is split into "6" (stem) and "9" (leaf)
The order of the stemleaf section:
Example:
Let`s say Python.Engineering has 10 tech authors th content. Each of them submitted 100 articles to publish on the site. Out of 100 articles, the number of articles with errors is shown below for every 10 content authors —
16, 25, 47, 56, 23, 45, 19, 55, 44, 27
Stemleaf area will be —
1  69 2  357 4  457 5  56
Plot in Python using the stem module —
To plot the stems and leaves in Python, we need to install the strong module & gt; stemgraphic. You can install stemgraphic module from Jupyter Notebook as —
import sys! {Sys.executable} m pip install stemgraphic
Below is the code —

Output:
Explanation —
The leftmost column in the above graph is — this is a frequency counter. There are two observations in the 1020 range and 3 observations in the 2030 range, which gives a total of 5 observations in the 030 range. Continuing in this vein, we see 10 observations that are at the top in the same column. Then, after the vertical line, there are two values, one of which we have at the most 16. Although at the topmost we have 56, these values are nothing more than the minimum and maximum values, respectively, in the given dataset. After that we have the stem values, and after that we are left with the values dividing the stem along a vertical line.
Note: You can set this Matplotlib a library from Jupyter Notebook like —
import sys! {sys.executable} m pip install matplotlib
Using matplotlib.pyplot.stem
—

Output: