Learning-Pandas-Second-Edition:Packt出版的《学习熊猫》，第二版

[{"title":"（ 38 个子文件 4.13MB ） Learning-Pandas-Second-Edition:Packt出版的《学习熊猫》，第二版","children":[{"title":"Learning-Pandas-Second-Edition-master","children":[{"title":"Chapter13","children":[{"title":"13_Time_Series_Data.ipynb <span style='color:#111;'> 163.23KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter05","children":[{"title":"05_Manipulating DataFrame Structure and Contents.ipynb <span style='color:#111;'> 29.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter04","children":[{"title":"04_Table_And_MultiVariate_Data_with_The_DataFrame.ipynb <span style='color:#111;'> 23.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter03","children":[{"title":"03_Variable Representation using a Series.ipynb <span style='color:#111;'> 43.41KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter07","children":[{"title":"07_Categorical Data.ipynb <span style='color:#111;'> 22.15KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter02","children":[{"title":"02_Up and Running with pandas.ipynb <span style='color:#111;'> 49.15KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter11","children":[{"title":"11_Reorganizing_and_Reshaping_Data.ipynb <span style='color:#111;'> 34.89KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter15","children":[{"title":"15_Finance.ipynb <span style='color:#111;'> 959.40KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false},{"title":"Chapter12","children":[{"title":"12_Grouping_and_Aggregating.ipynb <span style='color:#111;'> 88.64KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter06","children":[{"title":"06_Working with Indexes.ipynb <span style='color:#111;'> 32.41KB </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"stocks.sqlite <span style='color:#111;'> 632.00KB </span>","children":null,"spread":false},{"title":"msft.csv <span style='color:#111;'> 149.52KB </span>","children":null,"spread":false},{"title":"all_stocks.xls <span style='color:#111;'> 872.00KB </span>","children":null,"spread":false},{"title":"meteorite-landings.csv <span style='color:#111;'> 4.75MB </span>","children":null,"spread":false},{"title":"test1.csv <span style='color:#111;'> 659B </span>","children":null,"spread":false},{"title":"msft2.xlsx <span style='color:#111;'> 156.99KB </span>","children":null,"spread":false},{"title":"stocks.xlsx <span style='color:#111;'> 499.81KB </span>","children":null,"spread":false},{"title":"aapl.csv <span style='color:#111;'> 158.43KB </span>","children":null,"spread":false},{"title":"omh.csv <span style='color:#111;'> 539B </span>","children":null,"spread":false},{"title":"stocks_msft.xls <span style='color:#111;'> 328.50KB </span>","children":null,"spread":false},{"title":"stocks.json <span style='color:#111;'> 403B </span>","children":null,"spread":false},{"title":"sp500.csv <span style='color:#111;'> 81.67KB </span>","children":null,"spread":false},{"title":"accel.csv <span style='color:#111;'> 114B </span>","children":null,"spread":false},{"title":"store.h5 <span style='color:#111;'> 702.75KB </span>","children":null,"spread":false},{"title":"goog.csv <span style='color:#111;'> 3.52KB </span>","children":null,"spread":false},{"title":"sensors.csv <span style='color:#111;'> 423B </span>","children":null,"spread":false},{"title":"msft_modified.csv <span style='color:#111;'> 57.93KB </span>","children":null,"spread":false},{"title":"msft2.csv <span style='color:#111;'> 531B </span>","children":null,"spread":false},{"title":"stocks2.xls <span style='color:#111;'> 328.50KB </span>","children":null,"spread":false},{"title":"stocks.html <span style='color:#111;'> 609B </span>","children":null,"spread":false},{"title":"msft_piped.txt <span style='color:#111;'> 167.90KB </span>","children":null,"spread":false},{"title":"msft_with_footer.csv <span style='color:#111;'> 149B </span>","children":null,"spread":false}],"spread":false},{"title":"Chapter09","children":[{"title":"09_Accessing_Data.ipynb <span style='color:#111;'> 45.09KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter08","children":[{"title":"08_Numeric and Statistical Methods.ipynb <span style='color:#111;'> 70.80KB </span>","children":null,"spread":false}],"spread":false},{"title":"Chapter14","children":[{"title":"14_Visualization.ipynb <span style='color:#111;'> 1.02MB </span>","children":null,"spread":false}],"spread":false},{"title":"Chapter10","children":[{"title":"10_Tidying_Your_Data.ipynb <span style='color:#111;'> 37.34KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]