d = arange(0, 10) d=> array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])# sum up all elementssum(d)=> 45# product of all elementsprod(d+1)=> 3628800# cummulative sumcumsum(d)=> array([ 0, 1, 3, 6, 10, 15, 21, 28, 36, 45])#
Numpy为在数组上执行计算提供了许多有用的函数;其中最有用的函数之一是SUM: importnumpy as np x= np.array([[1,2],[3,4]])print(np.sum(x))#Compute sum of all elements; prints "10"print(np.sum(x, axis=0))#Compute sum of each column; prints "[4 6]" //计算列和print(np.sum(x, ...
11]])b.sum(axis=0)# 每列的和array([12,15,18,21])b.min(axis=1)# 每行的最小值array([...
Sum = np.add(arr1, arr2) print("Addition of Two Arrays: ") print(Sum) # 使用预定义的 sum 方法添加所有 Array 元素 Sum1 = np.sum(arr1) print("\nAddition of Array elements: ") print(Sum1) # 数组的平方根 Sqrt = np.sqrt(arr1) print("\nSquare root of Array1 elements: ") pri...
x = np.array([[1,2],[3,4]])print(np.sum(x))# Compute sum of all elements; prints "10"print(np.sum(x, axis=0))# Compute sum of each column; prints "[4 6]"print(np.sum(x, axis=1))# Compute sum of each row; prints "[3 7]" ...
Numpy提供了很多计算数组的函数,其中最有用的一个是sum: import numpy as np x = np.array([[1,2],[3,4]]) print(np.sum(x)) # Compute sum of all elements; prints "10" print(np.sum(x, axis=0)) # Compute sum of each column; prints "[4 6]" print(np.sum(x, axis=1)) # Com...
# sum Sum of all the elements in the array or along an axis; zero-length arrays have sum 0 # mean Arithmetic mean; zero-length arrays have NaN mean # std, var Standard deviation(这个标准差默认是除以n的,不是除以n-1) and variance, respectively, ...
all,any,apply_along_axis,argmax,argmin,argsort,average,bincount,ceil,clip,conj,corrcoef,cov,cross,cumprod,cumsum,diff,dot,floor,inner,invert,lexsort,max,maximum,mean,median,min,minimum,nonzero,outer,prod,re,round,sort,std,sum,trace,transpose,var,vdot,vectorize,where 索引、切片和迭代 一维数组可...
[ 8, 9, 10, 11]]) >>> >>> b.sum(axis=0) # sum of each column array([12, 15, 18, 21]) >>> >>> b.min(axis=1) # min of each row array([0, 4, 8]) >>> >>> b.cumsum(axis=1) # cumulative sum along each row array([[ 0, 1, 3, 6], [ 4, 9, 15, 22]...
all() 有False返回False 3. 其他聚合操作 Function Name NaN-safe Version Description np.sum np.nansum Compute sum of elements np.prod np.nanprod Compute product of elements np.mean np.nanmean Compute mean of elements np.std np.nanstd Compute standard deviation ...