课程
使用 pandas 连接数据
中级技能水平
更新时间 2025年12月
PythonData Manipulation4小时15 视频51 道练习4,050 XP220K+成就证明
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先决条件
Data Manipulation with pandas1
Data Merging Basics
Learn how you can merge disparate data using inner joins. By combining information from multiple sources you’ll uncover compelling insights that may have previously been hidden. You’ll also learn how the relationship between those sources, such as one-to-one or one-to-many, can affect your result.
2
Merging Tables With Different Join Types
Take your knowledge of joins to the next level. In this chapter, you’ll work with TMDb movie data as you learn about left, right, and outer joins. You’ll also discover how to merge a table to itself and merge on a DataFrame index.
3
Advanced Merging and Concatenating
In this chapter, you’ll leverage powerful filtering techniques, including semi-joins and anti-joins. You’ll also learn how to glue DataFrames by vertically combining and using the pandas.concat function to create new datasets. Finally, because data is rarely clean, you’ll also learn how to validate your newly combined data structures.
4
Merging Ordered and Time-Series Data
In this final chapter, you’ll step up a gear and learn to apply pandas' specialized methods for merging time-series and ordered data together with real-world financial and economic data from the city of Chicago. You’ll also learn how to query resulting tables using a SQL-style format, and unpivot data using the melt method.
使用 pandas 连接数据
课程完成 加入超过19百万学习者，今天就开始使用 pandas 连接数据！
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