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Py数据分析jupyter

于 2019-01-03 发布 文件大小:4400KB
0 236
下载积分: 1 下载次数: 5

代码说明:

  py数据分析numpy, pandas, matplotlib, pyecharts, seaborn...(py data analysis: numpy, pandas, matplotlib, pyecharts, seaborn...)

文件列表:

Py数据分析jupyter\1 - numpy.ipynb, 73651 , 2018-08-26
Py数据分析jupyter\2 - pandas.ipynb, 304707 , 2018-08-26
Py数据分析jupyter\3 - iris-data.csv, 4457 , 2018-08-26
Py数据分析jupyter\3 - 数据清洗与整理.ipynb, 16648 , 2018-11-15
Py数据分析jupyter\4 - Baltimore_City_Employee_Salaries_FY2016.csv, 1593275 , 2018-08-26
Py数据分析jupyter\4 - 数据聚合和分组(groupby).ipynb, 197095 , 2018-11-24
Py数据分析jupyter\5 - matplotlib可视化.ipynb, 401083 , 2018-11-23
Py数据分析jupyter\5 - starbucks.csv, 4078004 , 2018-08-26
Py数据分析jupyter\6 - us_cities.csv, 131502 , 2018-08-26
Py数据分析jupyter\6 - 地图可视化和seaborn可视化.ipynb, 1352979 , 2018-11-23
Py数据分析jupyter\7 - pyecharts可视化.ipynb, 184713 , 2018-11-24
Py数据分析jupyter\7 - user_info.csv, 25914 , 2018-08-26
Py数据分析jupyter\8 - bike.csv, 648353 , 2018-08-26
Py数据分析jupyter\8 - 时间序列.ipynb, 101255 , 2018-11-24
Py数据分析jupyter\Python数据分析.pptx, 553481 , 2018-10-19
Py数据分析jupyter\render.html, 724205 , 2018-11-24
Py数据分析jupyter\外部数据读取与存储\books.csv, 9129 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4-ex1.csv, 50 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4-ex2.csv, 104 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4-ex3.csv, 35 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4-ex4.csv, 79 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4-ex5.txt, 48 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4-ex6.txt, 56 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\ch4ex1.csv, 104 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\items.json, 9694 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\out1.csv, 57 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\外部数据读取与存储-my.ipynb, 70013 , 2018-11-15
Py数据分析jupyter\外部数据读取与存储\第四讲:外部数据读取与存储.ipynb, 65273 , 2018-08-26
Py数据分析jupyter\第10讲:时间序列\从零开始学习Python数据分析.jpg, 195604 , 2018-08-26
Py数据分析jupyter\第10讲:时间序列\第10讲:时间序列.pptx, 676342 , 2018-08-26
Py数据分析jupyter\第10讲:时间序列\第十讲:时间序列.ipynb, 101253 , 2018-08-26
Py数据分析jupyter\.ipynb_checkpoints, 0 , 2018-12-23
Py数据分析jupyter\外部数据读取与存储, 0 , 2018-11-22
Py数据分析jupyter\第10讲:时间序列, 0 , 2018-11-24
Py数据分析jupyter, 0 , 2018-12-23

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