目　录

基 础 篇

第1章　绪论 ·····························2

1.1 多源交通时空大数据简介 ················2

1.1.1 传统集计统计数据 ·······························3

1.1.2 个体连续追踪数据 ·······························4

1.1.3 地理空间信息数据 ·······························5

1.2 为什么要用Python处理交通大数据 ·····6

1.2.1 常用数据处理技术 ·······························6

1.2.2 Python在交通大数据领域中的优势 ····8

1.2.3 Python与SQL的比较 ····························9

1.3 大规模数据处理的解决方案··············9

1.3.1 决定大数据处理性能的三个硬件

要素 ·······················································9

1.3.2 分布式数据处理架构 ·························11

1.4 本章习题 ···································14

第2章　Python数据处理基础 ······15

2.1 Python的环境配置 ························15

2.1.1 Python的集成开发环境 ······················15

2.1.2 Anaconda的安装 ·································16

2.1.3 Jupyter Notebook的使用 ·····················16

2.1.4 Python第三方库的安装 ······················18

2.2 Python基本语法 ···························19

2.2.1 对象与变量 ·········································19

2.2.2 运算符 ·················································20

2.2.3 内置数据类型 ·····································20

2.2.4 语句 ·····················································24

2.2.5 函数 ·····················································26

2.2.6 包的使用 ·············································27

2.2.7 数据分析常用第三方库简介 ·············28

2.3 pandas数据处理基础 ·····················29

2.3.1 数据文件的编码格式与存储形式 ·····30

2.3.2 数据表的行列处理 ·····························33

2.3.3 数据的表格运算 ·································41

2.4 时空大数据的处理思维 ·················46

2.4.1 复杂数据处理任务的解决思路 ·········46

2.4.2 数据处理任务分解实例：地铁换乘量

识别 ······················································49

2.5 数据处理中表格运算的常用技巧 ······51

2.5.1 分组编号 ·············································51

2.5.2 去除重复的记录 ·································53

2.5.3 个体ID重新编号 ·································54

2.5.4 生成数据之间的对应表 ·····················55

2.5.5 时空插值 ·············································58

2.6 本章习题 ···································60

2.6.1 思考题 ·················································60

2.6.2 Python基础代码练习 ··························60

2.6.3 pandas基础代码练习 ··························62

第3章　数据可视化基础 ············64

3.1 可视化的基本原则 ·······················64