Common statistical methods of arrays in python

This article mainly shows the commonly used statistical methods of arrays in python: summation, maximum value, average
1, summation
use the sum function to sum all or a certain axis of the elements in the array (all: sum(); some Axial: sum() axial)

arr888 = np.arange(6).reshape((2,3))
    print("原始数组是：\n",arr888)
    #求和运算
    #全部求和
    print("数组各个元素之和：\n",arr888.sum())
    #第0轴方向求和
    print("第0维方向之和：\n", arr888.sum(0))
    #第1轴方向求和
    print("第1维方向之和：\n", arr888.sum(1))

Operation result:

2. Find the maximum value
Use max() and min() to find the maximum and minimum values ​​of all or a certain axis respectively:

arr888 = np.arange(6).reshape((2,3))
    print("原始数组是：\n",arr888)
    #最值
    print("求全部元素的\n最大值：%d,最小值:%d"%(arr888.max(),arr888.min()))
    print("求第0维元素的\n最大值：%s,最小值:%s"%(arr888.max(0), arr888.min(0)))
    print("求第1维元素的\n最大值：%s,最小值:%s"%(arr888.max(1), arr888.min(1)))

Running results:

3. Find the average
Use the mean() function to view the arithmetic average of all elements in the array or a certain axis:

 arr888 = np.arange(6).reshape((2,3))
    print("原始数组是：\n",arr888)
    #算术平均数
    print("求全部元素的算术平均数：" ,arr888.mean())
    print("求第0维元素的算术平均数：" ,arr888.mean(0))
    print("求第1维元素的算术平均数：" ,arr888.mean(1))

operation result: