(Python库代码(4个))
+1-科学计算库numpy 113.0 KB
|+.ipynb_checkpoints 13.7 KB
| numpy_1.ipynb 7.1 KB
| numpy_2.ipynb 7.9 KB
| NUMPY_3.ipynb 11.0 KB
| numpy_4.ipynb 5.4 KB
| numpy_5.ipynb 2.6 KB
| Untitled.ipynb 8.0 KB
| Untitled1.ipynb 10.9 KB
| world_alcohol.csv 8.6 KB
| world_alcohol.txt 37.3 KB
+2-数据分析处理库pandas 2.0 MB
|+.ipynb_checkpoints 432 Byte
| | padas_3-checkpoint.ipynb 72 Byte
| | pandas_1-checkpoint.ipynb 72 Byte
| | pandas_2-checkpoint.ipynb 72 Byte
| | pandas_4-checkpoint.ipynb 72 Byte
| | pandas_5-checkpoint.ipynb 72 Byte
| | pandas_6-checkpoint.ipynb 72 Byte
|+data-master 14.8 KB
| | fandango_score_comparison.csv 14.8 KB
| fandango_score_comparison.csv 14.8 KB
| food_info.csv 1.4 MB
| padas_3.ipynb 22.5 KB
| pandas_1.ipynb 11.1 KB
| pandas_2.ipynb 9.2 KB
| pandas_4.ipynb 22.1 KB
| pandas_5.ipynb 18.2 KB
| pandas_6.ipynb 1.2 KB
| thanksgiving-2015-poll-data.csv 376.0 KB
| titanic_train.csv 59.8 KB
+3-可视化库matpltlib 2.5 MB
|+.ipynb_checkpoints 504 Byte
| | plt_1-checkpoint.ipynb 72 Byte
| | plt_2-checkpoint.ipynb 72 Byte
| | plt_3-checkpoint.ipynb 72 Byte
| | plt_4-checkpoint.ipynb 72 Byte
| | plt_5-checkpoint.ipynb 72 Byte
| | plt_6-checkpoint.ipynb 72 Byte
| | plt_7-checkpoint.ipynb 72 Byte
| fandango_scores.csv 14.8 KB
| jg_Awebex_Acom_Acn,jg,532830847,-197360242,MC,0-0,SDJTSwAAAAJZj_O_c3zEt1qzFj8abfdSRxWUuIFax_xQ09nC6c9OwA2_webex.exe 277.0 KB
| percent-bachelors-degrees-women-usa.csv 5.6 KB
| plt_1.ipynb 120.0 KB
| plt_2.ipynb 224.0 KB
| plt_3.ipynb 137.0 KB
| plt_4.ipynb 86.0 KB
| plt_5.ipynb 324.0 KB
| plt_6.ipynb 372.0 KB
| plt_7.ipynb 2.5 KB
| train.csv 59.8 KB
| UNRATE.csv 12.9 KB
| 数据和代码.zip 941.0 KB
+4-可视化库Seaborn 5.2 MB
4-REG.ipynb 772.0 KB
5-category.ipynb 658.0 KB
6-FacetGrid.ipynb 839.0 KB
7-Heatmap.ipynb 327.0 KB
f1.png 142.0 KB
iris.data 4.6 KB
Seaborn-1Style.ipynb 1.5 MB
Seaborn-2Color.ipynb 169.0 KB
Seaborn-3Var.ipynb 316.0 KB
Untitled.ipynb 490.0 KB
Python库代码(4个).zip
(6.41 MB, 需要: RMB 29 元)


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