numpy教程目录-马育民老师

1. [numpy介绍](https://www.malaoshi.top/show_1EF3kQ4gFU41.html "numpy介绍")

2. [numpy数组对象ndarray](https://www.malaoshi.top/show_1EF3kY1lSB9Y.html "numpy数组对象ndarray")

3. [numpy创建数组](https://www.malaoshi.top/show_1EF3kYkmKe88.html "numpy创建数组")

4. [numpy生成数组range()、arange()和linspace()](https://www.malaoshi.top/show_1EF3kRd6p2Lw.html "numpy生成数组range()、arange()和linspace()")

5. [numpy数组的形状](https://www.malaoshi.top/show_1EF3kmwC49LT.html "numpy数组的形状")

5. np.random
 
 4. [numpy生成随机数组](https://www.malaoshi.top/show_1EF3kpGz6vy8.html "numpy生成多维随机数组")
 
 2. [numpy.random.shuffle和numpy.random.permutation](https://www.malaoshi.top/show_1EF4XZql0RzO.html "numpy.random.shuffle和numpy.random.permutation")

5. [numpy正态分布随机数组](https://www.malaoshi.top/show_1EF3oY0pMDWs.html "numpy正态分布随机数组")
 
 18. [numpy.random.choice随机选取生成数组](https://www.malaoshi.top/show_1EF5aZdTXtNz.html "numpy.random.choice随机选取生成数组")

7. [numpy数组的计算](https://www.malaoshi.top/show_1EF3laTyTlyb.html "numpy数组的计算")

8. [numpy广播](https://www.malaoshi.top/show_1EF48b2mjT7K.html "numpy广播")

1. [根据高尔顿的父母与孩子身高规律生成测试数据](https://www.malaoshi.top/show_1EF3opdAFDCf.html "根据高尔顿的父母与孩子身高规律生成测试数据")

6. [numpy修改数组形状](https://www.malaoshi.top/show_1EF3kpes5xFQ.html "numpy修改数组形状")

5. [numpy统计数组中元素的个数](https://www.malaoshi.top/show_1EF516wZhtvi.html "numpy统计数组中元素的个数")

10. [numpy中的索引和切片](https://www.malaoshi.top/show_1EF3mgfk2tS0.html "numpy中的索引和切片")

11. [numpy.where()](https://www.malaoshi.top/show_1EF4MQosMnOq.html "numpy.where()")

11. [numpy布尔索引和比较运算](https://www.malaoshi.top/show_1EF40Wtvbf3e.html "numpy布尔索引和比较运算")

11. [numpy轴axis](https://www.malaoshi.top/show_1EF3nWHlZNd7.html "numpy轴axis")

7. [numpy增减维度](https://www.malaoshi.top/show_1EF5172dkVGn.html "numpy增减维度")

12. [numpy合并数组](https://www.malaoshi.top/show_1EF40PkS1Df2.html "numpy合并数组")

12. numpy统计函数
https://www.runoob.com/numpy/numpy-statistical-functions.html

13. [numpy乘法matmul()、multiply()、dot()](https://www.malaoshi.top/show_1EF3pm5L3BBB.html "numpy乘法matmul()、multiply()、dot()")

14. [numpy矩阵转置的2种方法T、transpose](https://www.malaoshi.top/show_1EF4gIDueGXg.html "numpy矩阵转置的2种方法T、transpose")

15. [numpy之L2范数实现](https://www.malaoshi.top/show_1EF4h6ZTK6NY.html "numpy之L2范数实现")

16. [numpy.delete删除行列](https://www.malaoshi.top/show_1EF5aYx6y7Nw.html "numpy.delete删除行列")

17. [numpy.logical_and，numpy.logical_or，numpy.logical_not 逻辑与或非](https://www.malaoshi.top/show_1EF5avR1K5Zn.html "numpy.logical_and，numpy.logical_or，numpy.logical_not 逻辑与或非")

17. [numpy的无拷贝，视图（浅拷贝）和深拷贝（ numpy.copy）](https://www.malaoshi.top/show_1EF5aw2o1Q8Y.html "numpy的无拷贝，视图（浅拷贝）和深拷贝（ numpy.copy）")

20. [numpy. tile 和 numpy.repeat](https://www.malaoshi.top/show_1EF5cFF5oCu7.html "numpy. tile 和 numpy.repeat")

# 读写文件

17. [numpy.save和numpy.load读写npy文件](https://www.malaoshi.top/show_1EF5aZMWFsFW.html "numpy.save和numpy.load读写npy文件")

13. [numpy读取csv文件](https://www.malaoshi.top/show_1EF3nWpTZfxL.html "numpy读取csv文件")

14. numpy写csv文件
https://www.runoob.com/numpy/numpy-io.html

原文出处：/show_1EF3kSvUj6BT.html