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所在平台: Udemy |
课程主页: https://www.udemy.com/course/matplotlib-for-data-visualization-with-python/
课程评论：没有评论
**课程名称：** 使用 Python 进行 Matplotlib 数据可视化（2022 版） **课程概述：** 本课程是您掌握使用 Python 和 Matplotlib 进行数据可视化的实践指南。通过动手实践，您将学习到： * **Matplotlib 入门：** 如何安装和导入 Matplotlib 库。 * **基础 2D 图表创建与定制：** 学习创建和个性化各种基本 2D 图表，以有效地传达您的数据故事。 * **子图的创建与管理：** 理解子图的概念，并学会如何使用 Matplotlib 创建和定制多幅图表。 * **丰富的可视化图表类型：** 探索并掌握多种交互式和可探索的图形表示，包括散点图、折线图、条形图、堆叠条形图、直方图、饼图等。 * **3D 图表与图像绘图：** 学习创建 3D 图表以及使用 Python 可视化库绘制图像的基础知识。 **课程特色：** * **2022 年最新内容：** 所有内容均根据最新版 Matplotlib 库更新。 * **实践导向：** 重点在于提供数据可视化图表的循序渐进的实现指南，而非纯理论。 * **全程指导：** 通过问答环节提供支持，鼓励学员提问。 **学习目标：** 完成本课程后，您将能够使用 Matplotlib 和 Python 创建几乎所有类型的数据可视化图表。
The only way to truly learn how to use Matplotlib for Data Visualization with Python is by actually getting your hands dirty and trying out the features yourself. That's where this course comes in! The hour-long course starts off with an introduction to Matplotlib, including how to install and import it in Python. We will then move on to learn how you can create and customize basic 2D charts in order to best tell your story. Furthermore, you will also learn what subplots are and how you can create as well as customize them with the help of the Matplotlib library.We will explore the full spectrum of interactive and explorable graphic representations including various plots such as Scatter, Line, Bar, Stacked Bar, Histogram, Pie, and much more. The course also walks you through the basics of creating a 3D plot in Matplotlib and how you can start plotting images using the Python visualization library.And, once you are done with this course, you will be able to create almost any kind of plot that you need with Matplotlib and Python.Why you should take this course?Updated 2022 course content: All our course content is updated as per the latest version of the Matplotlib library. Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide for making amazing data visualization plots rather than just sticking to the theory.Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.
