初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1. numpy科学计算基础库

1.1 numpy读取数据

CSV:Comma-Separated Value,逗号分隔值文件
显示:表格状态
源文件:换行和逗号分隔行列的格式化文本,每一行的数据表示一条记录。

由于csv便于展示,读取和写入,所以很多地方也是用csv的格式存储和传输中小型的数据,为了方便教学,我们会经常操作csv格式的文件,但是操作数据库中的数据也是很容易的实现的。

np.loadtxt(fname,dtype=np.float,delimiter=None,skiprows=0,usecols=None,unpack=False)

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

np.loadtxt(US_video_data_ numbers_path,delimiter=\",\",dtype=int,unpack=1)

注意其中添加delimiter和dtype以及unpack的效果
delimiter:指定边界符号是什么,不指定会导致每行数据为一个整体的字符串而报错
dtype:默认情况下对于较大的数据会将其变为科学计数的方式
那么unpack的效果呢?
upack:默认是Flase(0),默认情况下,有多少条数据,就会有多少行
为True(1)的情况下,每一列的数据会组成一行,原始数据有多少列,加载出来的数据就会有多少行,相当于转置的效果

1.2 numpy中的转置

转置是一种变换,对于numpy中的数组来说,就是在对角线方向交换数据,目的也是为了更方便的去处理数据。

# coding=utf-8
import numpy as np

t = np.array([[0,1,2,3,4,5],[6,7,8,9,10,11],[12,13,1,15,16,17]])
print(t)

print(t.swapaxes(1,0))
print(t.transpose())
print(t.T)

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.3 numpy索引和切片

对于刚刚加载出来的数据,我如果只想选择其中的某一列(行)我们应该怎么做呢?

# coding=utf-8
import numpy as np

a = np.array([[0,1,2,3],[4,5,6,7],[8,9,10,11]])
#取一行
print(a[1])
#取多行
print(a[1:3])
#取一列
print(a[:,2])
#取多列
print(a[:,2:4])

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.4 numpy中数值的修改

# coding=utf-8
import numpy as np

t = np.array([[0,1,2,3,4,5],[6,7,8,9,10,11],[12,13,14,15,16,17],[18,19,20,21,22,23]])
print(t)
print(t[:,2:4])
t[:,2:4] = 0
print(t)

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.5 numpy中布尔索引

# coding=utf-8
import numpy as np

t = np.arange(24).reshape((4,6))
print(t)
print(t<10)
t[t<10] = 0
print(t)

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.6 numpy中三元运算符

# coding=utf-8
import numpy as np

t = np.arange(24).reshape((4,6))
print(t)
print(np.where(t<10,0,10))

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.7 numpy中的nan和inf

nan(NAN,Nan):not a number表示不是一个数字

什么时候numpy中会出现nan:
当我们读取本地的文件为float的时候,如果有缺失,就会出现nan
当做了一个不合适的计算的时候(比如无穷大(inf)减去无穷大)

inf(-inf,inf):infinity,inf表示正无穷,-inf表示负无穷

什么时候回出现inf包括(-inf,+inf)
比如一个数字除以0,(python中直接会报错,numpy中是一个inf或者-inf)

# coding=utf-8
import numpy as np

#两个nan是不相等的
print(np.nan == np.nan)
print(np.nan != np.nan)
#以上的特性,判断数组中nan的个数
t = np.array([1.,2.,np.nan])
print(np.count_nonzero(t!=t))
#由于np.nan != np.nan为True,那么如何判断一个数字是否为nan呢?
#通过np.isnan(a)来判断,返回bool类型,比如希望把nan替换为0
t[np.isnan(t)]=0
print(t)
#nan和任何值计算都为nan

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

# coding=utf-8
import numpy as np

def fill_ndarray(t1):
    for i in range(t1.shape[1]):  # 遍历每一列
        temp_col = t1[:, i]  # 当前的一列
        nan_num = np.count_nonzero(temp_col != temp_col)
        if nan_num != 0:  # 不为0,说明当前这一列中有nan
            temp_not_nan_col = temp_col[temp_col == temp_col]  # 当前一列不为nan的array

            # 选中当前为nan的位置,把值赋值为不为nan的均值
            temp_col[np.isnan(temp_col)] = temp_not_nan_col.mean()
    return t1

if __name__ == '__main__':
    t1 = np.arange(24).reshape((4, 6)).astype("float")
    t1[1, 2:] = np.nan
    print(t1)
    t1 = fill_ndarray(t1)
    print(t1)

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.8 numpy中常用统计函数

求和:t.sum(axis=None)
均值:t.mean(a,axis=None) 受离群点的影响较大
中值:np.median(t,axis=None)
最大值:t.max(axis=None)
最小值:t.min(axis=None)
极值:np.ptp(t,axis=None) 即最大值和最小值只差
标准差:t.std(axis=None)

标准差是一组数据平均值分散程度的一种度量。一个较大的标准差,代表大部分数值和其平均值之间差异较大;一个较小的标准差,代表这些数值较接*均值
反映出数据的波动稳定情况,越大表示波动越大,约不稳定。

缺失值填充均值:

# coding=utf-8
import numpy as np

def fill_ndarray(t1):
    for i in range(t1.shape[1]):  #遍历每一列
        temp_col = t1[:,i]  #当前的一列
        nan_num = np.count_nonzero(temp_col!=temp_col)
        if nan_num !=0: #不为0,说明当前这一列中有nan
            temp_not_nan_col = temp_col[temp_col==temp_col] #当前一列不为nan的array

            # 选中当前为nan的位置,把值赋值为不为nan的均值
            temp_col[np.isnan(temp_col)] = temp_not_nan_col.mean()
    return t1

if __name__ == '__main__':
    t1 = np.arange(24).reshape((4, 6)).astype("float")
    t1[1, 2:] = np.nan
    print(t1)
    t1 = fill_ndarray(t1)
    print(t1)

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.9 numpy生成随机数

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

1.10 实例运用

假设我们现在有一个英国和美国各自youtube1000多个视频的点击,喜欢,不喜欢,评论数量(["views","likes","dislikes","comment_total"])的csv,运用刚刚所学习的只是,我们尝试来对其进行操作。

准备数据:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)
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52740,2604,58,303
85461,4119,76,392
516978,14114,1718,2228
1493954,35531,1135,5316
11519,1504,27,282
1191937,39376,903,2643
982779,43482,616,3084
234703,16203,288,1406
1703542,31919,1348,5067
1546392,36722,1111,6460
2452799,104512,7805,7083
672570,41032,658,2014
443122,13782,439,1673
544680,25543,585,3016
1754958,79446,1038,6290
1985492,78513,1878,3926
943549,40803,672,3650
61718,2313,74,192
128860,5439,95,986
231936,21825,456,2173
1379048,55263,694,4383
69553,1472,19,213
117028,743,112,386
80713,3874,30,222
32362,451,7,38
197066,10700,184,1032
91778,3364,49,346
648233,28645,845,2352
12207070,411667,8567,21046
567552,12802,193,634
184640,5624,208,2395
406193,12576,213,471
20029,561,15,231
14179,139,31,78
896104,23663,911,3139
139757,299,63,210
98028,1993,102,836
3165318,10554,446,1616
971730,56421,597,4095
19416,1343,18,94
243032,12388,521,1334
1465456,75278,1188,4244
650836,19201,309,2088
772453,12351,774,1291
483559,20263,450,1883
223187,2176,2122,0
11902,159,4,42
236768,6535,495,647
13859,174,2,31
431406,10378,628,1025
8566,137,57,0
3012146,103676,1534,7761
490200,19610,386,3079
27424,430,15,363
971221,26433,748,1055
32163,64,68,228
1424598,54074,1848,4710
170521,9417,98,979
121547,4567,119,469
1791737,54656,9107,37482
30521,192,3,21
5287237,19796,2919,2275
554361,26838,262,3918
139502,311,5,222
39427,772,42,747
829736,3322,2391,999
999045,29142,616,6399
302662,12474,540,1384
431283,15079,351,1294
3101168,19954,773,6239
72611,139,12,79
5026861,110385,2363,12171
146716,400,458,1018
3666560,103510,5470,17971
88398,5540,68,1377
191453,4124,870,2821
143075,501,209,1727
518301,5845,290,413
422285,22594,249,3845
297912,5103,46,754
155529,6153,47,503
219942,17085,116,2668
574492,6854,128,1001
168294,1534,121,686
169567,10607,63,1109
4423,14,1,1
66561,2076,81,219
1003029,46851,816,5110
361668,19005,122,1128
44193,2398,48,504
379570,7277,88,336
17141,922,8,59
79278,2137,19,173
389343,16145,648,1686
64799,2682,92,511
49251,2667,117,547
176691,2678,76,0
1643721,196876,817,20294
37515,267,1,26
472673,6807,302,536
164418,8455,95,697
282517,13476,235,1461
301846,12304,332,1094
156890,10461,143,1203
1176315,24871,324,3580
178178,21441,87,2160
38815,1843,65,217
133633,1091,62,263
11479,114,3,18
294516,17027,285,1634
44064,2090,19,381
65950,2666,60,275
1738774,86544,1065,7331
1310057,49175,5122,5204
4480,10,1,1
11405,52,0,20
208351,6607,151,393
1079036,59445,604,3476
36422,1957,35,174
54597,203,4,52
3712190,157379,6294,6800
51566,3384,15,210
700959,6594,518,372
80831,6012,49,349
24469,214,5,8
79750,810,84,654
91901,521,22,182
1781035,8065,2134,3406
307070,5903,88,298
18744,1830,46,264
61930,4848,137,699
3922,164,1,12
528181,13681,471,1552
48324,212,14,192
682183,4031,727,306
829812,18104,1076,5788
17103567,510961,7471,21543
1652,0,0,0
5551822,191391,18105,20256
94145,2453,19,150
173097,6393,67,507
3375,110,2,24
48285,398,157,151
1429624,21306,1092,3202
368227,4926,373,1526
357451,13246,509,1302
259280,4836,69,205
640152,17172,263,2225
41959549,1502097,30036,104931
1020005,48113,635,1759
2278,40,1,3
193657,3562,120,520
1887621,136668,5483,23636
6069,64,9,67
402852,12353,468,1793
121465,410,12,78
198240,528,31,113
753796,51505,1018,5055
441996,17730,349,1624
485863,19840,397,2357
119431,274,62,8
68354,267,18,30
132372,863,877,495
812393,8917,216,1003
25668,167,17,43
51715,833,99,341
422907,21220,530,6711
4127885,157808,2031,7615
42486342,678389,13995,48429
642541,50546,2044,4125
3522790,83190,3130,6646
1266653,30128,2676,4163
4536443,298899,12046,24881
963827,17819,3230,0
226723,20366,59,1768
976036,27556,861,2401
615689,1204,435,1551
2165527,49772,4466,15358
716411,15802,982,6102
78516,6505,94,1016
75409,5368,81,894
320373,2498,144,0
4079439,198515,11430,21504
539931,40930,1249,3228
105776,3264,77,189
1680538,79873,810,20224
284569,11054,279,1279
5288444,537629,3059,59951
64237,358,139,910
1313821,96778,1555,9813
1132513,41112,269,1966
1538720,33110,1071,5084
4787872,59904,1247,3796
2471353,115101,1149,8206
169217,8851,124,648
514063,18922,1042,2429
86630,3891,96,511
180251,1967,70,290
564037,23233,447,2126
169622,14262,111,1022
85682,3891,65,357
254186,8442,366,309
712039,3202,143,582
188855,6463,419,671
238222,9559,169,991
62755,2466,71,329
1169747,35829,469,4710
136882,1582,39,116
81579,147,122,146
122743,8270,278,1987
70063,3058,77,404
69804,1896,88,325
23891,1832,26,408
2137698,22501,4440,6835
288594,6333,1612,1049
887511,36074,286,1734
1155429,48014,916,2990
454395,49935,168,3935
999134,11121,784,2211
3733990,247808,3871,24296
656697,22667,419,3212
301382,8188,63,261
436552,2755,334,836
322612,6528,1718,1400
1173233,64032,1667,3646
149030,5641,160,583
2845369,152485,1645,8941
5997233,366396,22885,39626
140396,9704,45,440
2161849,45013,917,7757
91494,3254,55,349
50627,482,17,188
323012,13860,520,2221
565953,31732,583,4296
590971,26539,585,3046
99052,4562,87,414
362703,30824,140,5376
4488542,34620,7120,12812
8443106,86006,15504,2381
208059,12670,173,1688
296175,14899,555,1540
225614,7364,128,461
87647,9892,81,676
2858059,48221,2123,7710
46374,6607,31,436
1390420,52421,822,2744
248677,16864,310,1488
1023116,52624,1196,2581
572673,15239,1848,2378
367150,11030,354,651
1584492,36839,1191,4421
3056926,116450,8996,7885
126230,1048,6,76
221250,11998,500,1481
68546,2501,79,223
2035314,36284,1486,4335
245888,7145,150,1309
87405,3301,271,508
702730,30460,762,3693
520296,15272,521,1868
718596,38537,1639,3602
1596463,37556,1143,6731
1118547,44534,736,3150
12910204,422882,8965,21513
1825263,81517,1065,4470
153017,898,153,452
211143,6046,227,1886
59716,3195,15,228
1553350,58276,788,4556
133423,244,489,416
76931,1561,19,175
2119829,82502,1996,4192
151954,316,63,272
36485,292,23,44
721980,86391,443,4578
602815,13357,203,510
679429,29583,872,2118
524890,14483,250,558
91018,4247,32,241
1199747,63190,694,3519
961630,24565,961,2753
3306407,11439,488,1748
47379,245,4,30
68015,11626,30,634
16565,1836,46,327
69631,1987,328,757
14850,146,35,81
446098,10480,638,1090
22138,592,19,242
12283,160,4,50
262755,13063,539,1255
237646,2348,2269,0
113560,7870,37,569
27722,803,25,145
519840,21284,485,1597
142197,9670,111,509
253051,6820,536,585
162673,471,511,1287
21831,1439,21,104
79305,150,14,78
99523,2001,102,838
30846,453,17,435
3304517,111608,1664,8363
536636,20794,419,3367
42830,799,44,802
1666770,58947,1989,5079
174960,9612,103,997
11194,149,65,0
847391,3371,2409,1026
986531,26725,759,1124
21964,185,2,37
593380,27948,283,3416
1084891,30372,660,5581
58927,360,3,35
670146,7035,336,510
3908505,110579,5810,19255
502408,27548,8341,10614
5521935,20493,3057,2473
1811695,54889,9218,37639
209125,16838,410,2123
34699,68,68,179
369291,19276,125,874
5189738,112564,2447,12560
90031,5621,68,1409
228946,17504,120,2399
193761,4142,874,2821
461958,23579,262,3626
596413,6997,138,1078
3228546,20684,806,6524
83352,2208,20,144
140601,313,6,184
179839,1599,121,584
513419,37319,284,2575
466862,8145,74,1094
162308,6351,47,521
5271,24,2,3
399859,16526,654,1774
70544,2845,96,554
1495741,61167,1245,6120
37838,118,4,8
18149,955,8,45
51287,2714,120,430
398188,7578,88,369
183702,8817,98,727
183893,2749,76,0
978732,2696,78,725
1676941,199329,827,20462
483878,6864,306,440
327306,12975,343,1188
161741,10624,146,1261
303834,14133,258,1551
184723,21972,89,1911
49664,2208,20,303
13281,130,3,19
1392850,51383,5449,5436
136608,1105,62,276
1792986,88029,1090,7328
6945,16,1,1
11637,54,0,19
216646,6779,156,430
38261,2007,37,173
41576,1923,69,219
317307,5983,89,290
1112617,60270,612,3580
4874,172,1,0
54889,203,4,101
3797928,158760,6374,6843
82372,6095,49,350
52158,3413,16,209
706428,6634,523,377
25634,229,5,8
93106,525,22,184
80080,811,84,656
20442,1870,48,258
66845,5118,142,656
535746,13789,477,1555
923240,2158,842,2324
3308603,61904,6165,19373
410554,34871,312,3111
169101,9519,203,1442
1214081,22986,1435,8195
46997,162,24,8
1367471,69538,869,11670
883631,8847,833,1123
630265,33841,457,2182
1913354,129734,4309,15167
428136,14200,604,2336
10944543,333469,22685,31858
697385,3302,351,0
923053,51919,1789,3947
1715858,96449,1271,8973
124327,3231,205,393
16673,109,55,330
192888,5026,139,318
31927,2094,27,115
36381,353,19,97
37960,1555,40,138
794308,36054,693,4680
49149,2132,47,352
3635,94,8,27
309703,11458,285,1361
83906,422,188,1149
1968298,86210,910,21538
673896,3294,247,393
184411,11559,475,1415
1570154,48976,338,2222
430729,20603,230,3756
8092992,654224,4749,73710
888653,13329,4296,2607
142510,9380,134,1424
33720,2275,44,479
1101130,4655,201,558
146365,7248,131,1210
1733462,108812,1883,10698
668168,21169,1443,2311
351831,11515,288,1193
3150013,131964,1511,9155
116241,507,11,108
104553,4390,110,597
203117,10895,460,2545
99106,4353,78,362
5762348,68932,1424,4043
189473,2015,73,146
92135,165,143,197
76164,2838,83,285
56633,601,3,83
93114,1070,5,81
175751,1877,42,140
674344,26025,547,2342
81668,2095,103,378
31913,2573,14,560
20878,266,4,115
1275732,37493,503,3601
446859,10441,93,355
286064,8837,406,315
228082,7111,548,742
1880966,37113,1235,4211
116817,411,11,106
2237809,23183,4577,6973
174973,4720,100,542
1040702,41671,320,1708
558988,56447,203,4159
5743857,108710,2180,5849
47906,358,58,438
195256,9450,142,671
4272766,259500,4137,19035
174169,11308,54,498
1088162,12106,868,1789
78907,3688,151,667
1560453,74601,1996,3552
1213659,49375,937,3003
6444,7,26,17
559269,3332,411,635
717397,23899,442,3329
722622,35817,730,4923
2142939,75357,1695,8481
42929,6640,17,752
362609,7037,1853,1573
163136,5999,171,491
2333091,46798,954,5702
332897,16174,613,1378
256804,7821,141,366
135115,12921,125,805
394413,15785,590,2065
6108995,369960,23206,38850
3037043,157871,1779,9107
2331,101,0,34
170208,1305,8,85
648074,28201,626,3133
547781,30162,1175,3414
23907,601,14,63
108987,4855,97,374
432274,32792,160,4534
4633097,35110,7231,12823
64637,165,25,20
1725988,58874,967,2894
1326308,60048,1488,2269
2963359,48973,2173,7835
397928,11689,378,345
261318,17396,318,1276
51725,485,17,176
291155,7519,163,1398
126103,15922,53,809
1640351,38241,1160,6931
107323,4757,35,560
68071,639,13,223
194946,21601,369,2833
53659,258,4,32
614701,16028,1911,1660
3501122,123552,9635,8211
1644818,37538,1218,4278
245466,12719,537,1506
718952,18342,668,2121
868727,35003,944,3751
96935,3537,291,589
2259132,38692,1573,4566
110540,726,38,49
757894,85209,341,4491
967027,44203,2429,4214
656551,16655,278,489
1261476,47347,798,3205
181885,1037,189,344
235698,6319,235,1990
152657,273,526,329
1726466,60570,875,4609
13686030,432761,9366,21853
251940,14092,215,1817
83980,2119,351,620
630442,13712,207,503
69148,3526,16,229
168663,474,8,51
75040,2655,81,150
51836,271,5,32
1436828,69432,702,3635
1771265,109489,3629,20727
711888,30520,903,2137
2227312,85406,2060,4287
3447187,12241,535,1743
130634,8583,40,646
385794,20110,476,1232
1016803,25296,998,2705
97159,4454,33,248
83103,1612,21,140
158271,320,63,139
19549,342,19,47
31832,843,26,128
17813,1946,46,336
454792,10554,644,1001
14954,146,35,82
279648,13618,561,1175
256920,2511,2427,0
12484,160,4,36
549701,21979,505,1567
23399,1509,23,108
1929955,63428,2173,5218
100132,2005,102,707
574712,21584,440,3446
32868,467,18,350
3570409,117856,1786,8467
44415,807,47,708
12874,168,69,0
180101,9815,105,995
30998,197,2,17
2141594,74966,1640,5891
635321,28975,306,3480
81765,163,14,83
1003018,26958,766,1039
3342091,21362,826,6283
512715,27850,8421,10694
802484,7945,372,482
72015,407,3,41
4140581,115696,6029,15531
1156241,31173,684,5492
63613,662,20,215
141077,313,6,185
605846,20424,343,2042
855071,3385,2410,952
81473,1567,80,306
168447,6496,48,433
91748,5671,68,1395
5344092,114278,2547,12399
35876,68,68,183
76475,2966,100,375
195210,4152,878,2807
617634,7179,148,946
375746,19518,126,789
993070,2755,81,745
187464,1647,124,597
84959,2236,20,144
237390,17826,127,2379
552088,38959,305,2532
526878,9084,86,1142
191731,2828,77,0
6003,25,2,3
410542,16886,656,1746
18873,977,8,45
1637737,260973,7112,30291
1096173,2829,1123,2891
417737,7266,654,940
2278284,138867,7075,11177
786180,19277,1208,3325
1266615,11559,1233,1073
704347,48975,539,3704
4008285,68586,7088,18631
85423,2984,87,504
65906,1662,79,702
66350,2311,72,190
1826346,82531,1335,12968
71253,791,38,166
1436119,26322,1637,7029
69018,284,88,47
1131274,51599,846,2744
15906476,415015,29656,31425
1002047,4241,337,545
818523,3466,443,0
41057,2505,41,114
1285658,60836,2296,3942
2119461,111692,1616,7842
24604,98,8,73
970110,39891,1087,3914
84599,422,7,50
249984,6464,176,321
4045,60,2,13
321319,11727,334,914
27261,162,68,434
596689,24700,357,4613
1867066,54223,389,1996
115658,4699,120,448
1213185,16816,5552,2636
2109838,89454,972,17024
208478,10812,238,1549
10024916,718746,5925,129295
238734,794,156,654
1455468,5633,252,695
55530,4186,41,760
749633,22523,1666,2550
408663,12463,388,1423
2082055,117075,2092,11432
174176,8168,150,1298
64175,9952,23,942
3556291,142845,1698,7679
41216,380,13,202
740221,27888,603,2140
245955,7394,572,626
41860,1867,42,144
11287,156,43,48
89671,443,212,1259
110621,1243,7,83
128014,537,11,103
121754,428,11,98
537024,12269,102,344
63996,451,5,34
273138,13901,653,1632
159483,7010,471,2436
1356350,38935,519,3713
2059052,39608,1328,4516
251949,5931,131,495
197295,1989,45,153
106937,4630,86,326
6732107,78732,1625,4562
178179,10352,184,1331
84097,3048,86,297
2307502,23661,4651,7508
626024,60537,222,3494
1145233,44955,338,1807
8306967,132375,2987,5825
306432,9181,424,332
63026,643,3,81
191541,2030,73,142
200973,12480,60,463
6959,7,26,15
77356,1030,39,96
157482,14411,138,840
4719710,268422,4355,19587
56967,2539,47,196
1274795,50759,967,3130
176598,6306,178,508
1112947,12288,881,1733
87546,2223,110,380
2026,293,2,46
1848865,83254,2229,3681
390932,7406,1882,1059
794777,38085,803,4038
639015,3677,480,663
437070,16924,643,2226
193076,1445,9,117
50473,376,59,441
2291405,78074,1776,8720
362788,17129,657,1411
753615,24686,454,3424
161495,18226,73,907
2425974,47999,983,5907
690445,29545,668,2325
207592,9866,144,596
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4850078,146460,8649,4896
108839,3677,107,732
614717,49443,1986,3970
1244953,29748,2639,4112
1862718,21516,1960,2108
2114219,77679,1874,4529
11533,51,7,29
109422,200,14,0
349856,4403,140,335
447037,25068,710,1299
226012,9353,156,1282
3998451,291383,11624,24246
82199,1194,51,194
41962,1445,50,268
36323498,1431683,28049,100661
25652,73,11,62
7563,344,1,21
845694,64515,625,4325
316616,10084,104,331
3027926,76505,2880,6414
463409,19286,393,2304
4761358,50802,1128,8606
376381,8909,170,334
30851,261,65,49
13752002,46101,4898,0
433708,24188,712,2383
2465146,179085,1567,11973
836472,19314,1206,0
599780,29851,299,453
106186,4695,193,396
626600,20553,1033,2138
384682,21302,353,1559
2451184,176110,1017,6257
480279,26662,241,557
189414,7070,112,288
103666,196,67,80
74494,2218,37,159
1110865,11255,1817,3631
235562,1801,78,96
1798895,26425,465,2278
12200526,258842,44339,0
5457497,349857,17479,52483
3654879,30836,6101,16713
1398322,35880,619,6246
1568852,174771,2166,19191
558820,4847,259,1083
761705,32608,1562,6864
6997601,626155,46445,190979
504827,29220,457,2233
580441,2520,533,977
2084309,128402,1136,8733
909358,14539,672,1353
1119034,12843,560,1367
3087549,93812,3067,19758
380266,11558,1286,1783
83219,157,190,406
1673317,40496,678,3915
393968,10053,596,1191
990274,22897,639,2430
86119,1835,18,230
1668188,88182,5893,7373
705475,34506,549,3180
515740,37881,538,8313
367178,5296,199,2422
751902,22556,870,4638
1341911,33111,1035,4709
413029,18228,404,1671
1637683,76343,936,6052
87153,220,43,115
1130469,39886,876,2347
378178,25046,1112,2510
292585,16909,325,1845
41452,485,244,318
2741837,72782,7146,18239
586091,26816,778,2165
2995809,9467,371,1709
712467,33015,863,4018
159643,4389,651,603
1805185,72625,1714,4056
71109,4127,50,299
1091878,49500,538,3886
53673,1208,45,118
396448,1557,292,1368
50518,1237,30,118
11475555,398514,8158,24861
772128,21783,813,2839
310527,23994,373,2224
232505,498,793,642
22004,38,15,6
55614,2433,84,453
111776,4857,68,311
240156,7977,189,798
17777,15,0,6
478747,54551,306,3702
19105,154,20,20
13459,223,2,23
579532,17845,277,1852
65650,403,57,175
829793,6501,386,2582
429138,18017,343,3900
91333,6871,183,705
1461358,35312,1062,6077
22490,1939,15,156
93030,6162,81,564
229037,4137,157,587
3506621,67469,4459,8750
285838,31544,422,3563
35101,172,5,47
205103,10947,471,1206
971177,19477,1157,8125
1180879,47871,1640,4295
564175,33359,489,4152
61085,3797,9,362
213321,12990,138,1403
222206,21395,150,2298
675609,3571,1640,920
947706,25968,741,1139
111295,122,25,74
892442,27575,554,6161
219849,3905,181,1329
310292,4598,155,371
214484,12908,125,937
2511218,90146,1320,7936
116342,569,37,121
496275,25070,236,3634
86268,6084,48,686
81215,3716,228,494
40606,4296,11,605
267179,1071,184,0
376653,21239,220,3538
45843,2548,115,504
25912,1602,22,114
165684,15485,77,1180
12588,1330,4,119
70220,6395,80,388
1247138,68793,1092,4582
51223,0,0,0
59907,152,248,286
158781,10142,60,1003
410406,14671,344,1407
1918194,39488,2017,6311
179786,2642,25,466
19880,112,3,28
304490,10871,171,385
618587,35336,1143,16645
329508,3915,105,697
274315,16268,266,1965
4959620,18534,2723,2450
4830992,107674,2276,11743
150257,10185,137,1107
264911,11034,304,1231
1170059,15377,996,4695
54816,4499,129,640
364857,3521,24218,6501
2817086,18485,723,5728
9396,76,2,13
482681,949,138,598
151736,2153,102,444
24701,119,11,54
372944,15547,646,2081
56016,351,12,20
2711006,29072,2279,7081
19753,112,5,10
348472,18538,115,1070
7198312,26768,3932,147
252323,12482,202,1635
17270,1749,39,213
122462,5058,107,355
1490599,75508,1519,3978
352810,4636,239,331
541705,6617,117,901
5107032,33851,13164,4404
204553,5164,57,447
307749,11202,150,800
2555997,126897,1115,9470
426636,20387,304,2612
1681417,85017,1038,7196
197356,6357,142,357
170608,3442,303,381
28456,849,41,357
91906,270,62,219
168561,20645,81,2100
329907,1158,190,434
1043993,58482,588,3389
1228127,47168,4719,6048
16296,361,32,85
1297769,2727,514,934
1774499,8057,2128,3396
200970,2034,271,199
11811,401,17,50
415382,12329,469,1746
10892,60,1,26
2064406,41329,2694,15667
273256,2408,121,263
50537,251,27,150
667703,3996,722,280
137388,974,76,691
9354,53,2,0
326281,8616,472,680
168512,224,72,182
2333602,4894,940,445
1097,9,0,7
645414,13560,495,1792
103175,6708,68,345
122620,756,49,445
358204,13019,196,521
943682,59232,236,5468
808962,17617,1060,5684
180554,3458,113,459
8075,55,0,6
96468,914,23,159
54261,203,4,30
80647,475,23,106
2953,105,0,21
19468,87,2,14
5292941,187251,17328,19816
231371,7945,47,786
1361619,20383,1020,3113
1849541,135169,5430,23408
1984548,25976,2917,2345
15093,210,3,26
5266,29,0,13
456328,4309,69,264
58026,274,5,105
396083,12221,463,1772
122194,22,12,5
414089,20839,521,6595
110816,3644,110,719
79080,2248,225,395
177155,9287,166,881
1139838,39393,1607,1519
174184,462,86,303
723981,50162,1000,4923
920080,21350,907,909
1749,15,0,9
14682,44,50,0
5127806,149929,8827,4964
496221,7571,521,1215
1824481,135734,1086,16234
544518,11937,1186,2333
1456039,54715,374,4067
1009649,9582,917,2779
1921063,20278,4008,7615
224878,5144,1135,999
1202045,34089,604,1055
6570611,746023,6687,102758
667937,48069,1015,2956
3622082,47583,994,4017
755108,74326,947,10379
921642,22071,1030,9138
755399,8424,767,866
847140,9325,650,1943
134887,549,242,485
2889867,222514,3288,23539
1578630,63141,1198,8810
960930,42549,775,3130
15731493,321403,57528,0
5854127,361422,22023,54671
1262710,42471,2547,8880
1937598,42203,836,7351
146749,400,458,1018
4257519,33617,6882,18323
42993,2010,59,189
329649,13226,337,2726
283060,5432,191,477
168353,7105,210,241
69042,5742,27,337
47369,2137,41,201
198260,1170,1325,1106
118491,2130,96,505
149552,6076,218,521
37460,2789,38,250
239956,15696,228,1915
55165,3312,118,467
7706359,659184,50584,199406
320296,6445,346,1247
677009,3097,755,1405
1276245,17804,912,1662
92947,4578,580,735
2587501,144171,1481,9933
3970421,107888,3861,22556
21421,166,28,92
219193,7936,165,1008
517133,14122,1718,2237
54377,3602,73,660
8418,20,94,59
166176,2921,49,404
172189,980,10,125
1268813,13834,670,1251
83356,608,32,70
186264,7703,544,1421
1360621,85965,1959,14243
195726,19447,34,1449
131335,11843,65,937
71187,390,5,27
64584,6610,52,391
129102,2432,295,1314
545072,25553,585,3016
1879131,43783,737,4341
139837,299,63,210
1704887,31922,1348,5073
625573,42524,653,9323
170124,2614,68,369
22975,22,1,40
2453843,104520,7808,7083
431464,10379,628,1025
30563,192,3,21
52532,1340,5,131
205267,8686,118,1976
868054,24364,976,4644
495762,6520,252,2910
181104,6500,101,375
86623,1924,48,213
944026,40807,672,3650
78103,387,30,29
2782871,203997,1054,16847
3572241,86493,9501,22016
185529,9801,297,1009
686662,35138,321,4762
483683,20265,450,1888
15681,57,0,9
1494086,35533,1135,5328
927303,38322,1099,3667
21083,1115,18,156
1755094,79451,1038,6290
496221,7571,521,1215
1824481,135734,1086,16234
544518,11937,1186,2333
1456039,54715,374,4067
1009649,9582,917,2779
1921063,20278,4008,7615
224878,5144,1135,999
1202045,34089,604,1055
6570611,746023,6687,102758
667937,48069,1015,2956
3622082,47583,994,4017
755108,74326,947,10379
921642,22071,1030,9138
755399,8424,767,866
847140,9325,650,1943
134887,549,242,485
2889867,222514,3288,23539
1578630,63141,1198,8810
960930,42549,775,3130
15731493,321403,57528,0
5854127,361422,22023,54671
1262710,42471,2547,8880
1937598,42203,836,7351
146749,400,458,1018
4257519,33617,6882,18323
42993,2010,59,189
329649,13226,337,2726
283060,5432,191,477
168353,7105,210,241
69042,5742,27,337
47369,2137,41,201
198260,1170,1325,1106
118491,2130,96,505
149552,6076,218,521
37460,2789,38,250
239956,15696,228,1915
55165,3312,118,467
7706359,659184,50584,199406
320296,6445,346,1247
677009,3097,755,1405
1276245,17804,912,1662
92947,4578,580,735
2587501,144171,1481,9933
3970421,107888,3861,22556
21421,166,28,92
219193,7936,165,1008
517133,14122,1718,2237
54377,3602,73,660
8418,20,94,59
166176,2921,49,404
172189,980,10,125
1268813,13834,670,1251
83356,608,32,70
186264,7703,544,1421
1360621,85965,1959,14243
195726,19447,34,1449
131335,11843,65,937
71187,390,5,27
64584,6610,52,391
129102,2432,295,1314
545072,25553,585,3016
1879131,43783,737,4341
139837,299,63,210
1704887,31922,1348,5073
625573,42524,653,9323
170124,2614,68,369
22975,22,1,40
2453843,104520,7808,7083
431464,10379,628,1025
30563,192,3,21
52532,1340,5,131
205267,8686,118,1976
868054,24364,976,4644
495762,6520,252,2910
181104,6500,101,375
86623,1924,48,213
944026,40807,672,3650
78103,387,30,29
2782871,203997,1054,16847
3572241,86493,9501,22016
185529,9801,297,1009
686662,35138,321,4762
483683,20265,450,1888
15681,57,0,9
1494086,35533,1135,5328
927303,38322,1099,3667
21083,1115,18,156
1755094,79451,1038,6290
165983,7999,124,759
1271855,43039,986,1955
444082,40292,530,4308
180370,14836,247,3052
25122,205,29,66
1297760,5693,1625,3561
213820,5137,743,766
648273,28646,845,2352
3165464,10556,446,1616
96381,3045,458,419
18335,269,4,62
1985761,78518,1879,3926
75427,1558,63,186
1379413,55269,694,4383
46955,1685,262,648
27429,430,15,363
48562,2268,36,137
896164,23663,911,3139
124487,4471,307,617
342410,25617,387,2360
12208330,411682,8567,21046
41169,178,6,79
43981,7258,37,1537
282915,8924,209,942
654311,65224,392,4188
1004055,46870,817,5114
104166,152,39,36
650931,19203,309,2088
1546536,36722,1111,6460
77810,4298,16,419
490309,19610,386,3079
263630,4451,169,666
1072349,20846,1260,8703
3689337,69240,4547,9039
78220,2053,41,121
1424830,54077,1848,4710
46574,1530,36,251
234972,501,798,684
247504,14354,156,1554
287672,24003,168,2502
12954,0,0,0
32056,1051,27,153
151594,1214,65,239
88235,4752,62,395
95900,6507,67,726
971242,26435,748,1055
999412,29142,616,6399
118315,131,27,72
3012697,103685,1534,7761
240887,4015,196,1307
554486,26842,262,3918
36740,2649,23,206
17577,1654,12,160
188410,546,14,0
69071,148,5,33
64817,2682,92,511
267907,1072,184,0
406343,12581,213,471
186965,16782,81,1249
422306,22594,249,3845
33997,180,10,67
1465819,75284,1188,4244
32489,3979,12,258
76023,6729,84,441
56311,0,0,0
298016,5118,46,754
1968008,40143,2033,4709
49254,2668,117,547
169585,10610,63,1109
132165,638,48,140
682207,3589,1652,954
686381,36812,1322,15557
294571,17028,285,1634
5287771,19798,2919,2275
335308,3947,105,661
18744,1830,46,264
301893,12305,332,1094
5027180,110390,2363,12177
51785,4965,13,679
156899,10461,143,1203
1178955,15427,1003,4730
3101709,19954,773,6239
65718,159,258,278
154746,2186,102,467
368018,3531,24306,6466
61933,4848,137,699
4906976,2473,1582,36
216713,5329,60,471
389363,16146,648,1686
489523,954,139,602
34255,149,11,85
361683,19006,122,1128
282594,13479,235,1461
518533,5847,290,413
574541,6854,129,982
1516624,76278,1541,3989
143859,5489,126,361
2813499,29658,2316,7275
2751415,131470,1174,9680
5952,209,14,29
109331,2870,101,537
5502137,35892,13695,4523
2223,261,0,31
437796,20699,312,2277
201901,10034,148,591
119730,5533,73,693
140494,391,7,27
28768,850,41,274
208370,6608,151,393
10851,1023,8,111
59706,365,12,45
1738837,86547,1065,7331
585176,3334,1342,6369
4085560,198696,11446,21514
290939,6341,1613,1053
436361,7828,854,1188
616112,1207,436,1551
2167963,49804,4472,15358
1302666,22810,3615,5460
408822,3964,1156,1227
1040038,12692,978,2083
209816,2672,204,256
3542861,323439,5411,21570
713391,3204,143,582
374344,42116,229,6046
122900,8278,278,1987
238746,9567,169,991
347928,16829,527,2111
208156,12671,173,1688
2333182,155627,1463,18215
1681290,79888,810,20228
2473453,115156,1149,8206
251986,11494,163,1768
346500,9275,1606,1653
2137663,50615,1001,1655
2206069,66696,557,5332
171110,14306,111,1028
514723,18926,1044,2429
322790,6531,1718,1406
308063,950,547,947
64374,359,139,910
1173691,64045,1667,3646
132079,3440,142,244
656980,22667,419,3212
2138396,22501,4440,6835
1429515,232107,626,26197
1170082,35833,469,4710
693376,58213,729,8910
87663,9897,81,676
11494007,956288,10369,125246
1133919,41128,269,1966
91673,3258,55,349
1314571,96802,1556,9813
564319,23238,447,2126
1538991,33124,1071,5084
222677,15266,314,1019
745209,53345,378,3828
566224,31738,583,4296
454734,49951,168,3935
323077,13862,520,2221
45382,1268,7,146
254289,8443,366,309
15616,26,129,92
1257169,75023,882,11988
39638,246,2,25
35272,299,43,366
4789657,59921,1247,3796
79717,2793,96,298
296325,14903,555,1540
362844,30831,140,5376
293148,1315,1597,1094
999381,11123,784,2211
840615,9275,820,850
138512,5910,778,930
3735099,247833,3871,24307
162699,471,511,1287
1943149,71749,1593,9973
86655,3896,96,511
130074,4776,73,374
140404,9708,45,440
33686,200,33,133
97595,4829,200,648
1155840,48018,916,2990
142282,9672,111,509
384135,7137,240,645
12924,944,7,77
18082737,359392,64933,0
68044,11632,30,634
591039,26543,585,3046
112174,499,5,41
88087,4447,96,800
141997,2399,111,568
113565,7870,37,569
2162054,45015,917,7757
5997736,366401,22885,39626
99739,683,35,78
4489199,34622,7120,12812
395376,7594,428,1053
142583,2577,334,1398
47399,245,4,30
107072,335,6,34
63124,1481,6,148
14327,500,3,43
630887,8478,164,587
152008,316,63,272
172466,6592,234,590
257919,8634,179,1079
79920,5028,72,630
187405,2912,98,417
219423,3294,56,495
2846092,152496,1645,8941
50981,3376,42,330
8002631,672775,52253,128771
707295,3286,808,1274
200657,15624,96,1260
446140,10480,638,1090
27935,1361,22,206
1463155,90329,2104,14662
69693,1987,328,757
703033,30469,762,3693
146782,637,52,65
2036524,36292,1486,4335
3058570,116464,8998,7885
225692,7364,128,467
190020,2761,82,415
2047674,45956,823,3534
105494,2272,52,303
650478,43748,678,9616
507320,42844,553,4567
59733,3195,15,228
82625,15128,64,2344
232764,9435,138,2092
179986,1016,13,141
916980,25042,1009,4799
146236,188,50,95
197056,15810,265,3230
529834,6842,266,3055
1119164,44538,736,3150
213446,8965,146,829
287267,17652,277,2029
762446,37871,340,3578
4047407,93363,10688,19783
2970992,212293,1089,17391
519986,21285,485,1597
286237,14805,159,1294
1584633,36839,1191,4421
1825387,81519,1065,4470
1072359,41380,1225,3903
1355374,44935,1047,2096
1423205,6017,1724,2817
255271,5630,797,653
248158,11312,378,1169
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455624,17129,678,3020
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2258595,116427,1703,8218
318102,12145,220,1331
160225,2408,36,262
1002805,63946,480,7116
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111887,4525,220,777
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160545,1423,18,143
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12621,39,0,9
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130027,5383,117,917
68099,4052,53,208
923704,11708,200,936
713595,30269,689,2306
472460,8544,466,1135
2689,25,3,2
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196113,8841,198,709
1303319,51274,983,3175
2457564,48412,1001,5911
511287,30026,324,1970
101864,2369,395,672
110725,5796,81,574
132561,802,45,64
40238,221,36,137
35945,2282,17,144
4804702,35719,7384,13127
131778,13029,65,857
153037,19121,88,2286
6232518,373824,23701,39144
146963,2626,364,1292
331980,1184,100,68
3280098,164959,2003,9557
1077745,40701,1186,4364
8808424,706104,57280,135649
795384,3717,898,1291
1574802,94941,2247,12442
206053,3715,53,194
9633,137,4,20
59537,316,5,40
50537,2624,26,100
1135047,43384,1902,10376
480140,16659,538,2121
1311031,43066,1618,8155
111973,5723,172,722
1512907,138252,4489,19821
414950,22413,448,1851
71480,5560,849,1672
864289,156831,738,14834
703228,45898,988,5124
334449,28136,208,1669
4635501,487060,4426,52345
625564,15712,333,728
206616,2170,899,1728
571105,9667,1405,705
174910,885,60,1607
242913,10385,325,1002
723864,34482,338,1605
630742,70815,930,6887
619567,36956,952,5381
34895,385,114,91
413743,13772,130,1534
518667,67782,585,3729
966197,61822,929,61179
4625554,239185,4769,18552
366192,19345,235,1000
616086,5988,364,2626
1096866,3080,202,406
302836,1286,4117,1608
1293052,49289,1660,4226
1403982,47930,1575,3840
223223,9518,816,1625
48652,367,22,38
145412,2409,2772,1335
106757,3529,152,380
565494,14734,420,518
672492,5990,2160,2192
580916,1657,73,494
125721,374,62,405
342604,7838,429,3383
1453523,121165,1773,15975
30424471,1762428,63990,582624
57495,813,27,93
2712929,55016,1986,6196
209228,7829,237,762
2737,5,4,9
59848,1577,160,0
30721,2013,45,152
361789,8193,359,400
43655,216,20,309
291775,16330,170,3207
1977954,141440,572,25637
16001,685,21,91
6462,9,1,8
268536,4091,911,1795
1002967,23521,497,3366
363089,9525,727,2521
306600,13553,155,1039
1626151,48674,1359,5407
2334998,107706,1525,3911
80180,4224,78,536
5665,27,6,21
42781,1313,163,262
78449,967,255,332
339150,12233,89,632
117006,15226,147,2315
75303,2024,92,533
217619,784,1337,755
380783,13750,195,2498
90525,2265,70,231
159619,2267,869,2024
54660,1744,30,133
21086,97,10,71
82157,6987,100,549
442890,0,0,194
66513,2412,218,981
25100,406,22,53
37294,287,23,126
1243109,38280,1014,8793
16568,22,3,40
433796,11766,326,1265
16512,11,0,0
74482,4536,25,379
167923,5022,103,314
891116,46191,2838,10754
299418,14124,65,1474
1402952,35060,2185,5242
36085,131,71,76
164812,6948,81,1165
104297,3857,130,472
56625,1093,133,220
59662,3624,99,207
259100,8452,215,1459
55408,21,1,12
8413,23,2,10
3669748,190177,4359,27132
27512,828,13,157
1444656,50919,1239,3060
1681166,8432,1491,5031
5005454,166469,10127,33916
83692,312,218,116
116646,56,9,16
1637373,14157,2849,1888
1217865,89347,2205,10401
108762,891,85,158
1292047,2038,71,1461
11844,37,99,0
571327,8966,822,929
83417,288,20,159
896828,20598,1377,2958
390669,1805,72,302
341006,134,36,72
769005,39433,863,2852
7990090,293800,304135,94266
488446,17853,698,3139
1285313,17588,5802,2748
844361,6996,329,1038
26829,135,2,20
2403392,142708,7749,11482
22787997,502597,37538,36467
228041,7311,107,338
1445091,12846,1357,1147
2001345,88388,1457,11496
22895,1688,21,14
250066,1823,50,119
3170,34,2,3
1057885,41614,1169,4008
37093,61,119,75
165899,999,338,573
146597,2335,194,484
2891328,127796,4219,5371
663057,26141,404,4840
583550,8033,1041,954
344752,12587,235,1358
846964,3499,467,0
4271785,71114,7431,18958
2735,25,0,2
1150895,8900,3174,1798
385096,12006,326,4061
4112187,26609,8982,0
1703268,67601,1123,3373
122191,7384,593,3143
314005,15492,736,1318
1161121,67930,522,7469
108829,320,2,19
248787,12683,566,2096
446594,13138,424,1379
192937,10880,192,1376
63069,2725,53,162
395563,7615,184,498
18293,294,7,28
2218837,29355,4868,5214
117199,4674,225,539
222861,21781,141,2412
4699392,388954,7586,19412
191166,730,125,75
1689730,17709,1171,2035
429424,28624,291,2208
168337,2453,36,245
49418,2561,98,346
326073,13654,222,1716
2206513,91418,1002,17577
3864917,322474,1450,27422
188774,19494,76,807
303550,6567,145,560
652319,26543,755,1370
173696,15463,148,742
439139,1277,679,1041
319412,5750,272,289
3932117,150979,1861,7990
80333,106,2,9
2860774,78841,690,5333
2822860,175347,1710,16202
793296,23330,1761,2695
53740,2078,31,146
2125368,57482,419,2083
2517566,124876,2318,12000
837476,39223,841,4158
2172912,90925,2464,3963
1091561,75196,1139,7456
6668,77,1,17
425684,7817,1893,989
1561336,87097,1065,10525
677750,63206,247,3616
785534,29247,624,2218
979551,64289,465,3450
51110,378,60,433
215640,2105,47,169
396776,18156,716,1487
219221,4532,152,553
91572,448,221,1024
469986,17749,676,2303
50664,331,11,17
291348,15749,233,1330
72124,1018,13,93
2379689,24008,4727,7665
483496,1369,1645,1115
4672,234,0,0
142463,4231,148,279
2162240,41032,1384,4737
515000,34727,195,4722
US_video_data_numbers.csv

案例1:

import numpy as np
from matplotlib import  pyplot as plt

us_file_path = "./US_video_data_numbers.csv"
uk_file_path = "./GB_video_data_numbers.csv"

# t1 = np.loadtxt(us_file_path,delimiter=",",dtype="int",unpack=True)
t_us = np.loadtxt(us_file_path,delimiter=",",dtype="int")

#取评论的数据
t_us_comments = t_us[:,-1]

#选择比5000小的数据
t_us_comments = t_us_comments[t_us_comments<=5000]

print(t_us_comments.max(),t_us_comments.min())

d = 50

bin_nums = (t_us_comments.max()-t_us_comments.min())//d

#绘图
plt.figure(figsize=(20,8),dpi=80)

plt.hist(t_us_comments,bin_nums)

plt.show()

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

案例2:

import numpy as np
from matplotlib import  pyplot as plt

us_file_path = "./US_video_data_numbers.csv"
uk_file_path = "./GB_video_data_numbers.csv"

# t1 = np.loadtxt(us_file_path,delimiter=",",dtype="int",unpack=True)
t_uk = np.loadtxt(uk_file_path,delimiter=",",dtype="int")

#选择喜欢书比50万小的数据
t_uk = t_uk[t_uk[:,1]<=500000]

t_uk_comment = t_uk[:,-1]
t_uk_like = t_uk[:,1]

plt.figure(figsize=(20,8),dpi=80)
plt.scatter(t_uk_like,t_uk_comment)

plt.show()

运行结果:

初识人工智能(一):数据分析(三):numpy科学计算基础库(二)

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