数组的运算
- 数组的四则运算
- 数组之间的运算
mport numpy as np arr1 = np.array([[1,2,3],[3,4,5]]) arr2 = np.array([[6,7,8],[9,10,11]]) a1 = arr1 + arr2 a2 = arr1 * arr2 print(a1) print(a2)
1.2 数组和数值之间的运算
mport numpy as np arr1 = np.array([[1,2,3],[3,4,5]]) arr2 = np.array([[6,7,8],[9,10,11]]) a1 = arr1 +2 a2 = arr1 * 2 print(a1) print(a2)
2 数组的统计运算
这里的运算类似于我们使用excel表格的函数运算
2.1求和 sum()
import numpy as np arr = np.array([[1,2,3],[3,4,5],[6,7,8]]) a1 = arr.sum() a2 = arr.sum(axis=0) a3 = arr.sum(axis=1) print(a1) print(a2) print(a3)
注:从运行结果就能知道axis的使用与之前是一样的。=
2.2求平均值 mean()
import numpy as np arr = np.array([[1,2,3],[3,4,5],[6,7,8]]) a1 = arr.mean () a2 = arr.mean(axis=0) a3 = arr.mean(axis=1) print(a1) print(a2) print(a3)
2.3求最值 max() min()
import numpy as np arr = np.array([[1,2,3],[3,4,5],[6,7,8]]) a1 = arr.max () a2 = arr.max(axis=0) a3 = arr.min(axis=1) print(a1) print(a2) print(a3)
先学习数组的简单运算,这些都在后续中可以应用到数据处理之中,让数据处理变得简单易懂



