├── README.md ├── ch04_NumPy基础 ├── array_ex.txt ├── p01_NumPy的ndarray.ipynb ├── p02_通用函数.ipynb ├── p03_利用数组进行数据处理.ipynb ├── p04_用于数组的文件输入输出.ipynb ├── p05_线性代数.ipynb ├── p06_随机数生成.ipynb └── p07_范例_随机漫步.ipynb ├── ch05_pandas入门 ├── p01_pandas的数据结构介绍.ipynb ├── p02_基本功能.ipynb ├── p03_汇总和计算描述统计.ipynb ├── p04_处理缺失数据.ipynb ├── p05_层次化索引.ipynb └── p06_其他有关pandas的话题.ipynb ├── ch07_数据规整化 ├── p01_合并数据集.ipynb ├── p02_重塑和轴向旋转.ipynb ├── p03_数据转换.ipynb ├── p04_字符串操作.ipynb └── p05_示例_USDA食品数据库.ipynb ├── ch08_绘图和可视化 ├── p01_matplotlib_API入门.ipynb ├── p02_pandas中的绘图函数.ipynb └── p03_绘制地图_图形化显示海地地震危机数据.ipynb ├── ch09_数据聚合与分组运算 ├── p01_GroupBy技术.ipynb ├── p02_数据聚合.ipynb ├── p03_分组级运算和转换.ipynb ├── p04_透视表和交叉表.ipynb └── p05_示例_2012联邦选举委员会数据库.ipynb ├── ch10_时间序列 ├── p01_日期和时间数据类型及工具.ipynb ├── p02_时间序列基础.ipynb ├── p03_日期的范围频率以及移动.ipynb ├── p04_时区处理.ipynb ├── p05_时期及其算术运算.ipynb ├── p06_重采样及频率转换.ipynb ├── p07_时间序列绘图.ipynb ├── p08_移动窗口函数.ipynb └── p09_性能和内存使用方面的注意事项.ipynb ├── ch11_金融和经济数据应用 ├── p01_数据规整化方面的话题.ipynb ├── p02_分组变换和分析.ipynb └── p03_更多示例应用.ipynb ├── data ├── fec.zip ├── haiti │ ├── Haiti.csv │ └── PortAuPrince_Roads │ │ ├── PortAuPrince_Roads.dbf │ │ ├── PortAuPrince_Roads.prj.txt │ │ ├── PortAuPrince_Roads.sbn │ │ ├── PortAuPrince_Roads.sbx │ │ ├── PortAuPrince_Roads.shp │ │ ├── PortAuPrince_Roads.shx │ │ ├── PortAuPrince_Roads_README.txt │ │ └── PortAuPrince_Roads_sample.jpg ├── macrodata.csv ├── movielens │ ├── movies.dat │ ├── ratings.dat │ └── users.dat ├── spx.csv ├── stock_px.csv ├── tips.csv ├── usda_food │ └── database.json └── volume.csv └── ex01_sklearn ├── p01_一元线性回归.ipynb ├── p02_多元线性回归.ipynb ├── p03_多项式回归问题.ipynb ├── p04_随机梯度下降法做线性拟合.ipynb ├── p05_特征提取.ipynb ├── p06_二元分类效果的评估方法.ipynb ├── p07_网格搜索快速找到最优模型参数.ipynb ├── p08_用scikit-learn做聚类分析.ipynb └── p09_用scikit-learn做逻辑回归.ipynb /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/yingl/pydata-book/HEAD/README.md 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