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append() function
Description: Add an element object at the end (end) of the list ls
Syntax: ls.append(object) -> None No return value
Example:
a=[1,2,3] a.append(5)
At this time, the running result is [1, 2, 3, 5]
a=[1,2,3] a.append([5])
At this time, running The result is [1, 2, 3, [5]]
The result is no longer an array, but a list
Use append to generate a multi-dimensional array:
import numpy as np a=[] for i in range(5): a.append([]) for j in range(5): a[i].append(i)
The results are as follows:
[[0, 0, 0, 0, 0], [1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]]
Matrix transpose function transpose method:
a=np.transpose(a)
The results are as follows:
([[0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4]])
Array merge operation :
h=np.arange(-2,2,1) h.shape k1=np.c_[h,h] #横向合并函数1 np.c_,将数组转化为列向量 k2=np.hstack((h,h)) #横向合并函数2 np.hstack,将数组作为横向量 print("k1="+str(k1)) print("k2="+str(k2)) l1=np.r_[[h],[h]] #纵向合并函数np.r_ l2=np.vstack((h,h)) #纵向合并函数np.vstack print("l1="+str(l1)) print("l2="+str(l2))
The results are as follows:
k1=[[-2 -2] [-1 -1] [ 0 0] [ 1 1]] k2=[-2 -1 0 1 -2 -1 0 1] l1=[[-2 -1 0 1] [-2 -1 0 1]] l2=[[-2 -1 0 1] [-2 -1 0 1]]
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