Visualization with Python: Matplotlib All In One

欢迎加入创建良好数据视觉效果的旅程。Python 是一种通用编程语言，越来越多地用于数据分析和可视化。Matplotlib 是 Python 中流行的数据可视化包，用于设计有效的绘图和图形。它提供了一个大型的可定制绘图库，以及一套全面的后端。这是一门实用课程，可帮助您使用 Matplotlib 库使用 Python 可视化数据。

本课程将教您如何使用 Matplotlib 创建有吸引力的图形、图表和绘图。您还将快速了解第三方包 Seaborn、Pandas、Basemap 和 Geopandas，并了解如何将它们与 Matplotlib 一起使用。在本课程的帮助下，您将能够解决在设计有吸引力、有洞察力的数据可视化时可能遇到的任何问题。您还可以借助本课程中提供的实际示例来调整可视化的外观和感觉。熟悉基础知识后，您将继续开发具有各种图形和 2D 和 3D 复杂网格布局的专业仪表板。您将为情节添加注释并添加富文本，从而创建业务故事情节。最后，您将借助实际的真实示例将交互式实时可视化技术集成到您当前的工作流程中。除此之外，您还将学习如何以各种格式保存图形和动画以供下游部署，然后扩展各种内部和第三方工具包提供的功能。

在本课程结束时，您将完全熟悉使用流行的 Python 数据可视化库 Matplotlib 并利用其强大的功能来构建有吸引力、有洞察力和强大的可视化。

Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 18 lectures (2h 32m) | Size: 1.22 GB

Leverage the power of Matplotlib using Python to visualize and understand your data more effectively

What you’ll learn
Matplotlib Interfaces
Learn and Understand pyplot
Understanding Matplotlib Architecture
Configuring Matplotlib
Advanced use of Matplotlib

Requirements
Access to a computer with an internet connection.

Description
Welcome aboard to the journey of creating good data visuals. Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. It provides a large library of customizable plots, along with a comprehensive set of backends. This is a practical course to help you visualize data with Python using the Matplotlib library.

This course will teach you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. With the help of this course, you’ll be able to tackle any problem you might come across while designing attractive, insightful data visualizations. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this course. Once you’ve familiarized yourself with the fundamentals, you’ll move on to developing professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D. You’ll annotate and add rich text to the plots, enabling the creation of a business storyline. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. In addition to this, you’ll learn how to save figures and animations in various formats for downstream deployment, followed by extending the functionality offered by various internal and third-party toolkits.

By the end of this course, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib and leveraging its power to build attractive, insightful, and powerful visualizations.

Who this course is for
Programmers
Anyone interested in Data Visualization