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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dav-using-python-ag/
课程评论：没有评论
课程名称：使用Pandas进行Python数据分析与可视化 课程概述： 本课程专注于使用Pandas库进行数据分析与可视化，共分为七个章节。 第一章介绍Pandas对象的创建，包括Series、DataFrame和Index。该章节涵盖了Pandas对象的基本算术运算，以及重索引、删除轴数据、过滤、索引和排序等操作。 第二章描述了在Pandas对象中应用的统计方法和数据处理。具体包括唯一值、计数、缺失数据的处理，以及缺失数据的过滤和填充等操作。 第三章讨论了如何从文本文件格式和Microsoft Excel中读取和写入数据，同时还包括部分读取大型文本文件的示例。 第四章介绍了使用Matplotlib库进行数据可视化，包括线图、散点图、柱状图和饼图等。章节中还讲解了图表的标题、图例和标签设置，并提供了从Pandas对象绘图的示例。 第五章围绕数据整理展开，介绍了如何合并Series对象和DataFrame对象，并结合实际示例讲解了Pandas对象的组合与合并。 第六章讨论了数据聚合和分组的各种形式，包括透视表的创建和使用。 第七章讲解了时间序列的创建和操作，涵盖了DatetimeIndex和Period类，并通过实际示例介绍了索引与选择的过程。 本课程适合希望深入掌握Pandas库及其在数据分析和可视化中应用的学习者。
The course title is "Data analysis and visualization using Python" and it is using the pandas library.It is divided into 7 chapters.Chapter 1 talk about creation of pandas objects such as: Series, DataFrame, Index. This chapter includes basic arithmetic with pandas object. Also it describes other operations with pandas object such as: reindexing, deleting data from axis, filtering, indexing and sorting.Chapter 2 describes statistical methods applied in pandas objects and manipulation with data inside pandas object. It describes pandas operations such as: unique values, value counting, manipulation with missing data, filtering and filling missing data.Chapter 3 talks about reading and writing data from text file format and Microsoft Excel. Partial reading of large text files is also described with an example.Chapter 4 describes data visualization using matplotlib library. It has example about the following graphs: line, scatter, bar and pie. Setting title, legend and labels in the graph is also describes with some practical examples. Drawing from pandas object is also described.Chapter 5 talks about data wrangling. Merging Series object and DataFrame object is described with practical examples. Combining pandas objects and merging them is part of this chapter.Chapter 6 talks about various forms of data aggregation and grouping. Creating and using pivot tables is also described.Chapter 7 talks about time Series creation and manipulation. Classes DatetimeIndex and Period are included in the description of the chapter. Indexing and selection is described with practical examples.
