python怎么输入一个数组矩阵？ python如何输入二维数组
python:\u5b9a\u4e49\u51fd\u6570,\u8f93\u5165\u4e00\u4e2am\u7ef4\u6570\u7ec4X\u548c\u4e00\u4e2a\u6574\u6570n,\u8f93\u51fa\u4e00\u4e2an*m\u7684\u77e9\u9635M,\u5176\u4e2d M[i] [j]=# Python3.6import numpy as npwhile True: x = input("\u8f93\u5165\u4e00\u4e2am\u7ef4\u6570\u7ec4,\u5143\u7d20\u4ee5\u7a7a\u683c\u5206\u5f00\uff1a") try: # split input x = x.split() s = [] # iterate:str-->int for i in x: s.append(int(i)) x = s break except: print("\u8f93\u5165\u6709\u9519\uff0c\u8bf7\u91cd\u65b0\u8f93\u5165\u3002")while True: n = input("\u6574\u6570n\uff1a") try: n = int(n) break except: print("\u8f93\u5165\u6709\u9519\uff0c\u8bf7\u91cd\u65b0\u8f93\u5165\u3002")# map object -->list objectlst = [i for i in x]# list object -->numpy.array objectmtrx = np.array(lst)# copy the 1st line of matrix as a templatemtrx_1 = np.copy(mtrx)k = len(mtrx)# reshape (k,) to (1,k) for concatenatemtrx = np.reshape(mtrx, (1, k))# calculate left linesfor i in range(1, n): tmp = np.power(mtrx_1, i+1) tmp = np.reshape(tmp, (1, k)) mtrx = np.concatenate((mtrx, tmp), axis=0)print(mtrx)
\u4e5f\u80fd\u8f93\u5165\u5427\uff0c\u7528eval\u5904\u7406\u4e00\u4e0b\u3002
# -*- coding: utf8 -*-arrayString = input('\u8f93\u5165\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4:')array = eval(arrayString)print(array)\u8f93\u5165\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4:[[1,2],[3,4]][[1, 2], [3, 4]]
下面是基于python3.4的数组矩阵输入方法：
1.import numpy as np
2.arr = [1,2,3,4,5,6,7,8,9]
3.matrix_a = np.array(arr)2.
4.手动定义一个空数组：arr =[]，链表数组：a = [1,2,[1,2,3]]。
绛旓細涔熻兘杈撳叆鍚э紝鐢╡val澶勭悊涓涓嬨-*- coding: utf8 -*-arrayString = input('杈撳叆涓涓浜岀淮鏁扮粍:')array = eval(arrayString)print(array)杈撳叆涓涓簩缁存暟缁:[[1,2],[3,4]][[1, 2], [3, 4]]
绛旓細瀹夎numpy锛屽埄鐢╪umpy鏁扮粍锛>>> import numpy >>> array1 = numpy.array([[1, 2], [3, 4]])>>> array1 array([[1, 2],[3, 4]])>>> array1 * 2.5 array([[ 2.5, 5. ],[ 7.5, 10. ]])濡傛灉浣犵敤鐨勬槸python鐨鍒楄〃锛屽畠鐨勪箻娉曟槸鍒楄〃鐨勮嚜鎴戝鍒讹紝[1, 2] * 2...
绛旓細print(list1)杈撳嚭锛氫互绌烘牸涓洪棿闅旇繛缁緭⼊⼀涓暟缁:1 2 5 8 1 [1, 2, 5, 8, 1]锟 5.9 鐧惧害鏂囧簱VIP闄愭椂浼樻儬鐜板湪寮閫,绔嬩韩6浜+VIP鍐呭 绔嬪嵆鑾峰彇 Python涓浣input涓涓鍒楄〃骞朵笖print鎵撳嵃杈撳嚭璇ュ垪琛 Python涓浣昳nput⼀涓垪琛ㄥ苟涓攑rint鎵撳嵃杈撳嚭璇ュ垪琛≒ython瑕佷粠閿洏杩炵画杈...
绛旓細import numpy as npx = np.random.randn(4, 5) # 鐢熸垚涓涓4*5鐨勬湇浠庢鎬佸垎甯(0, 1)鐨鏁扮粍print(x)缁撴灉:array([[ 1.49880806, 0.49802583, -0.73570234, 0.6838595 , -1.07146133], [-0.80834618, 0.28833047, 0.6492072 , -1.23454671, -0.42839883], [ 0.7593624...
绛旓細array 鏄剼鏈腑瀛樺偍鐫浠庢枃浠朵腑瑙ｈ鏁版嵁鐨勫垪琛 b=pprint.pprint(array) # b鏄痯print璋冪敤鐨勮繑鍥炲硷紱pprint骞朵笉灏嗚繑鍥炰换浣曟暟鎹紝鎵浠==None
绛旓細浠婂ぉ灏忕紪灏变负澶у鍒嗕韩涓绡囧Python涓暟缁鐨勫嚑绉嶄娇鐢ㄦ柟娉曟荤粨锛屽叿鏈夊緢濂界殑鍙傝冧环鍊硷紝甯屾湜瀵瑰ぇ瀹舵湁鎵甯姪銆備竴璧疯窡闅忓皬缂栬繃鏉ョ湅鐪嬪惂 浜岀淮鏁扮粍鐨勫垵濮嬪寲 matirx_done = [[0 for i in range(0, len(matirx))]for j in range(0, len(matirx[0]))]灏卞皢鍏跺垵濮嬪寲涓涓涓涓巑atrix鐩稿悓澶у皬鐨勫厓绱犲叏涓 0 ...
绛旓細浣犲彲浠ヤ娇鐢Python鍐呯疆鐨剆orted()鍑芥暟瀵杈撳叆鐨勬暟瀛楀拰鏁扮粍杩涜鎺掑簭銆俿orted()鍑芥暟鍙互鎺ュ彈涓涓彲杩唬瀵硅薄浣滀负鍙傛暟锛屽苟杩斿洖涓涓柊鐨勫凡鎺掑簭鐨勫垪琛ㄣ備緥濡傦紝濡傛灉浣鏈変竴涓鍖呭惈鏁板瓧鍜屾暟缁勭殑鍒楄〃锛屼綘鍙互浣跨敤浠ヤ笅浠ｇ爜瀵瑰叾杩涜鎺掑簭锛歮y_list = [3, 1, 4, [1, 5, 9], [2, 6, 5, 3]]sorted_list = ...
绛旓細鐢Python鏄剧ず5琛屸*鈥濈粍鎴愮殑鐭╅樀,姣忚5涓*鈥,蹇呴』鐢ㄤ袱閲嶅惊鐜,姣忔鎵...1銆佷娇鐢python琛ㄧず鐭╅樀鐨勬柟娉曪細浣跨敤鈥渋mportnumpy鈥濊鍙ュ鍏umpy鍖呫2銆佷笅闈㈡槸鍩轰簬python4鐨鏁扮粍鐭闃杈撳叆鏂规硶锛歩mportnumpyasnparr=[1锛2锛3锛4锛5锛6锛7锛8锛9]matrix_a=np.array(arr)鎵嬪姩瀹氫箟涓涓绌烘暟缁勶細arr=[]锛...
绛旓細宸ュ叿/鏉愭枡锛氱數鑴戙Python銆丳ycharm 1銆侀鍏堬紝鎵撳紑Python锛屽畾涔涓涓暟缁锛屽叾鍊间负绌恒2銆佹帴鐫锛杈撳叆鏁扮粍鐨勯暱搴︼紝淇濆瓨鍦ㄥ彉閲忎腑銆3銆佺敤for寰幆锛屾帶鍒惰緭鍏ユ暟缁勭殑鍚勫厓绱犮4銆佷粠閿洏閫愪竴杈撳叆鏁扮粍鍚勫厓绱狅紝骞舵坊鍔犲埌鏁扮粍涓5銆佷娇鐢ㄥ嚱鏁帮紝灏嗘暟缁勫掑簭锛堥嗗簭锛夋帓鍒椼6銆佹渶鍚庯紝杈撳嚭鍊掑簭锛堥嗗簭锛夋帓搴忓悗鐨勬暟缁勫笺7銆...
绛旓細鍦ㄤ娇鐢╩ax()鍑芥暟鏃讹紝濡傛灉浼犲叆鐨勫彲杩唬瀵硅薄涓虹┖锛孭ython浼氭姏鍑涓涓ValueError寮傚父銆傚洜姝わ紝濡傛灉浣犱笉纭畾浣犵殑鏁版嵁鏄惁鍖呭惈瓒冲鐨勫厓绱狅紝浣犲簲璇ュ湪璋冪敤max()鍑芥暟涔嬪墠杩涜妫鏌ャ傚湪鎻愬彇瀛鏁扮粍鏃讹紝鎴戜滑浣跨敤浜嗗垏鐗囨搷浣滅a[start:end]锛屽叾涓璼tart鏄瓙鏁扮粍鐨勫紑濮嬬储寮曪紝end鏄粨鏉熺储寮+1銆傛敞鎰忥紝Python鐨绱㈠紩鏄粠0寮濮嬬殑...
