├── .gitattributes ├── .gitignore ├── 1 - 数据读取与存储 ├── TOP250.txt ├── TOP250.xlsx ├── Titanic.txt ├── demodata │ ├── 001513_回测结果.xlsx │ ├── 002190_回测结果.xlsx │ ├── 003096_回测结果.xlsx │ ├── 005609_回测结果.xlsx │ ├── 005827_回测结果.xlsx │ ├── 110022_回测结果.xlsx │ ├── 161725_回测结果.xlsx │ ├── 163406_回测结果.xlsx │ ├── 320007_回测结果.xlsx │ └── 502023_回测结果.xlsx ├── out.html ├── store_tl.h5 ├── 数据加载与存储.ipynb ├── 某基金数据.json └── 某招聘网站数据.csv ├── 10 - 数据可视化 └── 数据可视化.ipynb ├── 2 - 个性化显示设置 ├── data.csv └── pandas 个性化显示设置.ipynb ├── 3 - 数据预览与预处理 ├── TOP250.xlsx └── 数据预览与预处理.ipynb ├── 4 - 数据统计描述性分析 ├── 2020年中国大学排名.xlsx └── 数据统计描述性分析.ipynb ├── 5 - 数据筛选与修改 ├── 东京奥运会奖牌数据.csv └── 数据筛选与修改.ipynb ├── 6 - 数据分组与聚合 ├── 数据分组与聚合.ipynb └── 某招聘网站数据.csv ├── 7 - 数据透视与合并 ├── 数据透视与合并.ipynb └── 某超市销售数据.csv ├── 8 - 金融数据与时间处理 ├── 000001_5min.csv ├── 000001_daily.csv └── 金融数据与时间处理.ipynb ├── 9 - 更多未提及操作 └── 更多未提及的操作.ipynb ├── LICENSE ├── README.md ├── 实战｜东京奥运会奖牌分析可视化 ├── bar_chart_race-master │ ├── .github │ │ ├── FUNDING.yml │ │ └── workflows │ │ │ └── python-package.yml │ ├── .gitignore │ ├── LICENSE │ ├── MANIFEST.in │ ├── README.md │ ├── bar_chart_race │ │ ├── __init__.py │ │ ├── _bar_chart_race.py │ │ ├── _bar_chart_race_plotly.py │ │ ├── _codes │ │ │ ├── code_value.csv │ │ │ ├── country.csv │ │ │ └── nfl.csv │ │ ├── _colormaps.py │ │ ├── _common_chart.py │ │ ├── _func_animation.py │ │ ├── _line_chart_race.py │ │ ├── _pandas_accessor.py │ │ └── _utils.py │ ├── mkdocs.yml │ ├── setup.py │ └── tests │ │ ├── __init__.py │ │ ├── test_bar_charts.py │ │ ├── test_line_chart.py │ │ ├── test_plotly.py │ │ ├── test_prepare.py │ │ └── videos │ │ └── README.md ├── name_map.json ├── 东京奥运会奖牌分日数据.csv ├── 东京奥运会奖牌分析可视化.ipynb └── 东京奥运会奖牌数据.csv ├── 实战｜客户流失分析 ├── picture │ ├── p1.png │ ├── p2.png │ └── 数据STUDIO.jpg ├── userlostprob.txt ├── 「客户流失分析」案例实战.ipynb └── 字段说明.xlsx ├── 实战｜客户细分模型 ├── data.csv └── 「客户细分模型」案例分析.ipynb ├── 必读｜使用说明.pdf └── 答案与提示获取.png /.gitattributes: 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