Numpy库02_索引与切片
import numpy as np #索引与列表相同 # nparr1=np.arange(0,10) # print(nparr1) # [0 1 2 3 4 5 6 7 8 9] # nparr1[1]=10 # nparr1[-1]=15 # print(nparr1) # print(nparr1[-1]) #9 # print(nparr1[1]) #1 #可见，索引与列表相同 # for i in nparr1: # print(i,end=" ") # nparr2=np.arange(0,12).reshape(3,4) # print(nparr2) # print(nparr2[2][1]) #相当于一个二维数组的访问 #切片 # nparr3=np.arange(0,12) # print(nparr3[:5]) # nparr4=np.arange(0,12).reshape(3,4) # print(nparr4) # # print(nparr4[2][1:4]) #多维的切片，与列表一样 # print(nparr4[1:]) #数组复制copy() # nparr5=np.arange(0,12) # print(nparr5) # nparr6=nparr5.copy() #不共内存地址 # nparr6[0]=20 # print(nparr6) # nparr7=nparr6 #共内存地址， # nparr7[0]=30 # print(nparr7) # print(nparr6) # nparr8=np.arange(0,12).reshape(4,3) # print(nparr8) # nparr9=nparr8.copy() # print(nparr9)
猜你喜欢
转载自www.cnblogs.com/yiyea/p/11441748.html
今日推荐
周排行