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Matplotlib

As explained in Coding with AI

A Python library for creating static, animated, and interactive data visualizations.

Matplotlib is a Python library for turning computed data into clear graphs. A small word-frequency program uses it to display the most common words in a text file as a bar chart. section 2.5.3

Plot the top 20 words

The workflow cleans and tokenizes text, counts each word, sorts the counts, and passes the result to plot_word_count. The function creates a bar chart, labels the axes, rotates word labels, adds a title, and displays the top 20 words. Running `pip install matplotlib tk` followed by `python main.py` produces the graph. section 2.5.3

How Coding with AI covers it

How deep it goes
Demonstrates a complete plotting function with sorting, selection, labels, rotation, titles, and display, without treating advanced visualization.
Examples
Uses a Hamlet text file to graph the top 20 words and show the resulting visualization.
What it assumes
Assumes basic Python functions and data processing while assembling the visualization within an existing text-analysis program.
What you can do after
Apply Matplotlib to generate and display a labeled bar chart from counted values.
How it connects
Connects Matplotlib to Python functions, word-frequency counting, bar charts, text files, and Tkinter setup.

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This explainer was generated by Manning's knowledge graph from the text of Coding with AI. The section links point to the parts of the book it draws on.