文件名称：pandas实战运用
文件大小：8.57MB
文件格式：RAR
更新时间：2021-09-23 09:20:06
2去
pandas数据分析模块，对pandas数据分析的api进行了实战讲解
【文件预览】：
pandas
----.ipynb_checkpoints()
--------1.Using pandas-checkpoint.ipynb(72B)
--------18 Ch09 Data visualizations-checkpoint.ipynb(72B)
--------8 chp4 challenge solution-checkpoint.ipynb(6KB)
--------7 chp4 challenge-checkpoint.ipynb(72B)
--------12 Ch06 Indexing-checkpoint.ipynb(72B)
--------14 Ch07 Groupby -checkpoint.ipynb(72B)
--------2.DataFrames and Series-checkpoint.ipynb(72B)
--------9 Ch05 Basic plotting-checkpoint.ipynb(72B)
--------10 Ch05 Basic Plotting challenge-checkpoint.ipynb(7KB)
--------19 One table final challenge and solution-checkpoint.ipynb(72B)
--------17 Ch08 Challenge and Solution-checkpoint.ipynb(41KB)
--------13 chp 6 challenge and sulotion-checkpoint.ipynb(72B)
--------5 cheaper 3 data input and validation-checkpoint.ipynb(72B)
--------20 multi dataframes-checkpoint.ipynb(72B)
--------3 challenge 1-checkpoint.ipynb(72B)
--------16 Ch08 stack() and unstack()-checkpoint.ipynb(72B)
--------4.challenge 1_solution-checkpoint.ipynb(2KB)
--------15 Ch07 Groupby Challenge Solution-checkpoint.ipynb(72B)
--------6 Ch04 Basic Analysis-checkpoint.ipynb(72B)
--------22.Load Risk Pridiction-checkpoint.ipynb(72B)
--------11 Ch05 Basic Plotting Solution-checkpoint.ipynb(53KB)
--------21 Housing Price-checkpoint.ipynb(97KB)
----2.DataFrames and Series.ipynb(81KB)
----16 Ch08 stack() and unstack().ipynb(33KB)
----20 multi dataframes.ipynb(106KB)
----7 chp4 challenge.ipynb(6KB)
----4.challenge 1_solution.ipynb(69KB)
----18 Ch09 Data visualizations.ipynb(112KB)
----6 Ch04 Basic Analysis.ipynb(149KB)
----21 Housing Price.ipynb(196KB)
----17 Ch08 Challenge and Solution.ipynb(139KB)
----13 chp 6 challenge and sulotion.ipynb(84KB)
----8 chp4 challenge solution.ipynb(64KB)
----14 Ch07 Groupby .ipynb(3.13MB)
----3 challenge 1.ipynb(2KB)
----chp2 challenge()
--------.ipynb_checkpoints()
--------3 challenge 1.ipynb(2KB)
----11 Ch05 Basic Plotting Solution.ipynb(53KB)
----1.Using pandas.ipynb(3KB)
----data()
--------olympics.csv(2.4MB)
--------house()
--------load()
--------Summer Olympic medallists 1896 to 2008 - IOC COUNTRY CODES.csv(5KB)
----22.Load Risk Pridiction.ipynb(271KB)
----19 One table final challenge and solution.ipynb(84KB)
----10 Ch05 Basic Plotting challenge.ipynb(7KB)
----5 cheaper 3 data input and validation.ipynb(53KB)
----15 Ch07 Groupby Challenge Solution.ipynb(107KB)
----chp2 challenge.zip(835B)
----temp()
--------.ipynb_checkpoints()
--------multi_dataframes.ipynb(83KB)
--------load.ipynb(245KB)
--------Ex_Files_Pandas_EssT()
----9 Ch05 Basic plotting.ipynb(174KB)
----12 Ch06 Indexing.ipynb(148KB)