Matplotlib
Matplotlib is an open-source Python library for creating static, animated, and interactive data visualizations.
Pandas Workout: 200 exercises to make you a stronger data analyst
Matplotlib is a Python library for creating static, animated, and interactive data visualizations.
- How it is used
- Supports data analysis by turning numerical relationships into visual representations that inform understanding and explanation.
- How deep it goes
- Demonstrates plot selection, data preparation, sorting, sizing, and pandas integration, but defers most direct Matplotlib API configuration.
- Examples
- Uses city counts, Pennsylvania growth, Massachusetts populations, geographic coordinates, and weather relationships to demonstrate chart types.
- What you can do after
- Builds exploratory charts through pandas plotting methods backed by Matplotlib and compares them with Seaborn alternatives.
Read how Pandas Workout: 200 exercises to make you a stronger data analyst explains Matplotlib →
Geometry for Programmers
Matplotlib is a Python library for creating static, animated, and interactive visualizations.
- How it is used
- Supports visualizing mathematical formulas, numerical data, and application examples through Python plots.
- How deep it goes
- Introduces plotting as a practical aid but stops short of teaching Python or Matplotlib programming in detail.
- Examples
- Uses rowing-session times, an approximating polynomial, and figures comparing linear approximation with the observed trend.
- What you can do after
- Apply Matplotlib to draw plots that clarify numerical trends and geometric behavior.
Everyday Data Visualization
Matplotlib is a Python library for creating static, animated, and interactive visualizations.
- How it is used
- Creates data visualizations through Python code.
- How deep it goes
- Demonstrates one default bar chart in roughly 18 lines and stops short of more complicated horizontal bars.
- Examples
- Uses fruit data and a default-styled bar chart as its concrete example.
- What you can do after
- Build a basic bar chart in Python with a relatively small amount of code.
Coding with AI
A Python library for creating static, animated, and interactive data visualizations.
- How it is used
- Builds a readable bar chart from word-frequency data in a small Python text-processing program.
- 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 you can do after
- Apply Matplotlib to generate and display a labeled bar chart from counted values.
Related concepts
- Pythonused by · Python is a high-level, general-purpose, dynamically typed programming language known for readable syntax and automatic memory management.
- seabornused by · Seaborn is a Python library for statistical data visualization that provides a high-level interface to Matplotlib.
- visualizationuses · Visualization is the representation of data, information, or concepts in visual form to support inspection, interpretation, analysis, or communication.
- pandasused by · pandas is an open-source Python library that provides labeled data structures and tools for manipulating and analyzing tabular and other structured data.
- data explorationused by · Data exploration is the systematic examination and summarization of data to understand its structure, quality, distributions, relationships, patterns, and anomalies.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.