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Mastering Data Visualization with Matplotlib

本课程是 Matplotlib: Python Data Visualization & Wrangling 专项课程的一部分

位教师：EDUCBA

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

16 条评论

7 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

16 条评论

7 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Construct simple and multi-axis plots with labels, scaling, and annotations.
Design specialized charts including polar plots, streamplots, and pie charts.
Customize styles, axes, and figures to produce publication-ready visuals.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

8 项作业

授课语言：英语（English）

91%

of learners achieved a positive career outcome

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Matplotlib: Python Data Visualization & Wrangling 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

This comprehensive course equips learners with the skills to create, customize, and evaluate high-quality visualizations using Python’s Matplotlib library. Beginning with foundational plotting concepts, learners will identify key Matplotlib components, construct simple and multi-axis plots, and apply labeling, scaling, and annotation techniques to effectively convey data insights.

In the advanced modules, learners will design and differentiate specialized charts, including custom dashed lines, pseudocolor meshes, streamplots, ellipses, polar charts, and pie charts. They will manipulate figure styles, integrate image data, and modify axes properties to produce publication-ready visuals. By the end of the course, learners will be able to synthesize plotting techniques to create professional, context-specific visualizations that enhance data-driven storytelling.

单元详情

This module introduces learners to the essential concepts and workflows of creating visualizations using Matplotlib. It covers the installation and setup of Python and Matplotlib, fundamental plotting commands, customization of simple plots, and managing figures and axes. Learners will develop the foundational skills necessary to create, modify, and interpret basic line graphs, preparing them for more advanced data visualization techniques.

涵盖的内容

12个视频4个作业

12个视频总计90分钟

Introduction to Matplolip10分钟
Simple Graphs6分钟
Simple Graphs Continue6分钟
More on Line Graphs9分钟
Bar Graph7分钟
Scatter Graph8分钟
Using Text 11分钟
Annotation in Graph5分钟
Basic of Pyplot7分钟
Basic of Pyplot Tex9分钟
Basic Barh and Fill6分钟
Complex Fill Demo7分钟

4个作业总计60分钟

Getting Started with Matplotlib10分钟
Working with Basic Plot Types10分钟
Pyplot Essentials and Simple Enhancements10分钟
Graded-Foundations of Matplotlib Visualization30分钟

This module builds on foundational Matplotlib skills by exploring advanced chart types, specialized visuals, and customization techniques. Learners will work with complex plot elements such as custom line patterns, pseudocolor meshes, streamplots, ellipses, polar charts, and pie charts. They will also apply advanced styling to images, plots, and figure outputs using Matplotlib’s customization tools and style sheets, enabling them to produce visually refined, publication-ready visualizations.