文件名称：Pandas CookBook with Python
文件大小：53.07MB
文件格式：RAR
更新时间：2021-10-13 05:26:23
Python Pandas Code
该压缩包里面包含了最新的python 学习库Pandas的PDF高清版本以及配套的Code，非常适合从事Python以及深度学习研究的同学以及工作者学习。
【文件预览】：
PandasCookbook_Code
----Chapter07()
--------Chapter 07 Grouping for Aggregation, Filtration and Transformation.ipynb(274KB)
----README.txt(25B)
----Chapter03()
--------Chapter 3 Beginning Data Analysis.ipynb(146KB)
----Chapter08()
--------Chapter 08 Restructuring Data into Tidy Form.ipynb(438KB)
----Chapter06()
--------Chapter 6 Index Alignment.ipynb(212KB)
----data()
--------meetup_groups.csv(431KB)
--------food_prices.csv(184B)
--------state_fruit2.csv(73B)
--------weightlifting_women.csv(396B)
--------names.csv(48B)
--------stocks_2016.csv(68B)
--------stocks_2017.csv(114B)
--------denver_neigh_pop.csv(1KB)
--------stocks_2018.csv(71B)
--------food_transactions.csv(113B)
--------aapl_stock.csv(74KB)
--------weightlifting_men.csv(437B)
--------crime.h5(30.68MB)
--------college.csv(1.19MB)
--------sensors.csv(234B)
--------movie_altered.csv(539KB)
--------denver_neighborhood_pop.csv(59KB)
--------.DS_Store(6KB)
--------state_fruit.csv(68B)
--------texas_cities.csv(120B)
--------flights.csv(2.85MB)
--------__MACOSX()
--------restaurant_inspections.csv(36KB)
--------amzn_stock.csv(86KB)
--------movie.csv(1.47MB)
--------employee.csv(238KB)
--------chinook.db(864KB)
--------gas prices()
--------college_diversity.csv(514B)
--------slb_stock.csv(79KB)
--------college_data_dictionary.csv(1KB)
--------weight_loss.csv(631B)
--------.ipynb_checkpoints()
--------weightlifting.csv(437B)
--------stackme.csv(104B)
--------diamonds.csv(2.45MB)
--------denver_pop.csv(88B)
--------backup()
--------baseball14.csv(1KB)
--------baseball15.csv(1KB)
--------baseball16.csv(1KB)
----Chapter01()
--------Chapter 1 pandas Foundations part 1.ipynb(99KB)
----Chapter05()
--------Chapter 5 Boolean Indexing.ipynb(404KB)
----Chapter09()
--------Chapter 09 Joining Pandas Objects Together.ipynb(437KB)
----Chapter04()
--------Chapter 4 Selecting Subsets of Data.ipynb(178KB)
----Software and Hardware list.pdf(283KB)
----Chapter11()
--------Chapter 11 Visualization with Matplotlib, Pandas and Seaborn.ipynb(2.01MB)
----Chapter10()
--------Chapter 10 Time Series Analysis.ipynb(450KB)
----Chapter02()
--------Chapter 2 pandas Foundations part 2.ipynb(274KB)