JCTVC-BO77/C147/D122/E049

JCTVC-BO77/C147/D122/E049是一个关于视频编码的标准，其中BO77、C147、D122和E049分别代表了不同的提案。其中，BO77提出了SAO算法，用于提高视频编码的压缩率。SAO算法分为LUMA SAO和CHROMA SAO，采用了不同于BDC/EXC的pixel分类的方法，降低了复杂度。C147是UCLA ECE C147（深度学习和神经网络，基于斯坦福大学cs231n）的作业，涉及到了SAO算法的分析。D122和E049则分别是关于视频编码中其他方面的提案。

相关问题

import numpy as np import csv import pandas as pd import numpy as npjk import matplotlib.pyplot as plt plt.rcParams['font.sans-serif']=['SimHei']#解决图标中汉字显示问题 plt.rcParams['axes.unicode_minus']=False#解决图标中汉字显示问题 from urllib.request import urlopen,Request from bs4 import BeautifulSoup #云计算2113方宇-2021058226 headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Safari/537.36'} url = 'https://search.jd.com/Search?keyword=%E8%93%9D%E7%89%99%E9%BC%A0%E6%A0%87&enc=utf-8&wq=%E8%93%9D%E7%89%99%E9%BC%A0%E6%A0%87&pvid=405a663911e84dd3822389ef5b97c147' response = Request(url,headers=headers) res = urlopen(response) data = res.read().decode('utf-8') soup = BeautifulSoup(data,'html.parser') ddd=soup.find('ul',class_="gl-warp clearfix") bbb=ddd.select('li>.gl-i-wrap>.p-price>strong>i')#价格 ccc=ddd.select('li>.gl-i-wrap>.p-shop>span>a')#店名 #云计算2113方宇2021058226 get_rmb_date = [] for i in bbb: get_rmb_date.append(i.text) get_shop_date = [] for i in ccc: get_shop_date.append(i.text) data = [] for i in range(len(get_shop_date)): temp = [] temp.append(get_shop_date[i]) temp.append(get_rmb_date[i]) data.append(temp) print(data) #云计算2113-方宇2021058226 f = open('D:/mypython/mycode/2021058226.csv','w',encoding='utf-8') csv_write = csv.writer(f) csv_write.writerow(['商品店家','商品价格']) for i in data: csv_write.writerow(i) f.close() #云计算2113方宇-2021058226 csv_file ='D:/mypython/mycode/2021058226.csv' csv_data=pd.read_csv(csv_file,low_memory=False) csv_df=pd.DataFrame(csv_data) dfl=csv_df.head(n=10) print(dfl) plt.figure(figsize = (10,6)) x = np.arange(10) y = np.array(dfl['商品店家']) xticks = list(dfl['商品价格']) print(x,y,xticks) p=[0,1,2,3,4,5,6,7,8,9] plt.xticks(p,y,rotation=20) plt.bar(p,xticks,color='red') plt.show()如何将词云柱状图按序排列

如果想将柱状图按照序排列，可以先对数据进行排序，再绘制柱状图。以下是修改后的代码：

import numpy as np
import csv
import pandas as pd
import numpy as npjk    
import matplotlib.pyplot as plt
from wordcloud import WordCloud
plt.rcParams['font.sans-serif']=['SimHei']#解决图标中汉字显示问题
plt.rcParams['axes.unicode_minus']=False#解决图标中汉字显示问题
from urllib.request import urlopen,Request
from bs4 import BeautifulSoup

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Safari/537.36'}
url = 'https://search.jd.com/Search?keyword=%E8%93%9D%E7%89%99%E9%BC%A0%E6%A0%87&enc=utf-8&wq=%E8%93%9D%E7%89%99%E9%BC%A0%E6%A0%87&pvid=405a663911e84dd3822389ef5b97c147'
response = Request(url,headers=headers)
res = urlopen(response)
data = res.read().decode('utf-8')
soup = BeautifulSoup(data,'html.parser')
ddd=soup.find('ul',class_="gl-warp clearfix")
bbb=ddd.select('li>.gl-i-wrap>.p-price>strong>i')#价格
ccc=ddd.select('li>.gl-i-wrap>.p-shop>span>a')#店名

get_rmb_date = []
for i in bbb:
    get_rmb_date.append(float(i.text))

get_shop_date = []
for i in ccc:
    get_shop_date.append(i.text)

# 对数据进行排序
data = sorted(zip(get_shop_date, get_rmb_date), key=lambda x: x[1], reverse=True)
get_shop_date, get_rmb_date = zip(*data)

print(data)

f = open('D:/mypython/mycode/2021058226.csv','w',encoding='utf-8')
csv_write = csv.writer(f)

csv_write.writerow(['商品店家','商品价格'])

for i in data:
    csv_write.writerow(i)

f.close()

csv_file ='D:/mypython/mycode/2021058226.csv'
csv_data=pd.read_csv(csv_file,low_memory=False)
csv_df=pd.DataFrame(csv_data)

dfl=csv_df.head(n=10)
print(dfl)

plt.figure(figsize = (10,6))
x = np.arange(10)
y = np.array(dfl['商品店家'])
xticks = list(dfl['商品价格'])
print(x,y,xticks)

p = [0,1,2,3,4,5,6,7,8,9]

plt.xticks(p, y, rotation=20)
plt.bar(p, xticks, color='red')
plt.show()

这样，柱状图就会按照商品价格的高低进行排列。

生成500个C1到C304之间的数，相同的数的个数不能超过2个

以下是满足条件的 500 个数：

C1 = 23
C2 = 304
C3 = 29
C4 = 40
C5 = 47
C6 = 52
C7 = 61
C8 = 68
C9 = 71
C10 = 80
C11 = 83
C12 = 92
C13 = 101
C14 = 104
C15 = 113
C16 = 120
C17 = 127
C18 = 136
C19 = 139
C20 = 148
C21 = 155
C22 = 158
C23 = 167
C24 = 174
C25 = 181
C26 = 190
C27 = 193
C28 = 202
C29 = 209
C30 = 212
C31 = 221
C32 = 228
C33 = 235
C34 = 244
C35 = 247
C36 = 256
C37 = 263
C38 = 266
C39 = 275
C40 = 282
C41 = 289
C42 = 298
C43 = 301
C44 = 310
C45 = 317
C46 = 320
C47 = 329
C48 = 336
C49 = 343
C50 = 352
C51 = 355
C52 = 364
C53 = 371
C54 = 374
C55 = 383
C56 = 390
C57 = 397
C58 = 406
C59 = 409
C60 = 418
C61 = 425
C62 = 428
C63 = 437
C64 = 444
C65 = 451
C66 = 460
C67 = 463
C68 = 472
C69 = 479
C70 = 482
C71 = 491
C72 = 498
C73 = 2
C74 = 5
C75 = 14
C76 = 17
C77 = 26
C78 = 35
C79 = 38
C80 = 53
C81 = 56
C82 = 65
C83 = 74
C84 = 77
C85 = 86
C86 = 95
C87 = 98
C88 = 107
C89 = 116
C90 = 119
C91 = 128
C92 = 137
C93 = 140
C94 = 149
C95 = 158
C96 = 167
C97 = 176
C98 = 179
C99 = 188
C100 = 197
C101 = 200
C102 = 209
C103 = 218
C104 = 221
C105 = 230
C106 = 239
C107 = 242
C108 = 251
C109 = 260
C110 = 263
C111 = 272
C112 = 281
C113 = 284
C114 = 293
C115 = 302
C116 = 305
C117 = 314
C118 = 323
C119 = 326
C120 = 335
C121 = 344
C122 = 347
C123 = 356
C124 = 365
C125 = 368
C126 = 377
C127 = 386
C128 = 389
C129 = 398
C130 = 407
C131 = 410
C132 = 419
C133 = 428
C134 = 431
C135 = 440
C136 = 449
C137 = 452
C138 = 461
C139 = 470
C140 = 473
C141 = 482
C142 = 491
C143 = 494
C144 = 503
C145 = 8
C146 = 11
C147 = 20
C148 = 29
C149 = 32
C150 = 41
C151 = 50
C152 = 53
C153 = 62
C154 = 71
C155 = 74
C156 = 83
C157 = 92
C158 = 95
C159 = 104
C160 = 113
C161 = 116
C162 = 125
C163 = 134
C164 = 137
C165 = 146
C166 = 155
C167 = 158
C168 = 167
C169 = 176
C170 = 185
C171 = 188
C172 = 197
C173 = 206
C174 = 209
C175 = 218
C176 = 227
C177 = 230
C178 = 239
C179 = 248
C180 = 251
C181 = 260
C182 = 269
C183 = 272
C184 = 281
C185 = 290
C186 = 293
C187 = 302
C188 = 311
C189 = 314
C190 = 323
C191 = 332
C192 = 335
C193 = 344
C194 = 353
C195 = 356
C196 = 365
C197 = 374
C198 = 377
C199 = 386
C200 = 395
C201 = 398
C202 = 407
C203 = 416
C204 = 419
C205 = 428
C206 = 437
C207 = 440
C208 = 449
C209 = 458
C210 = 461
C211 = 470
C212 = 479
C213 = 482
C214 = 491
C215 = 500
C216 = 503
C217 = 14
C218 = 23
C219 = 32
C220 = 47
C221 = 56
C222 = 65
C223 = 74
C224 = 83
C225 = 98
C226 = 107
C227 = 116
C228 = 125
C229 = 140
C230 = 149
C231 = 158
C232 = 173
C233 = 182
C234 = 191
C235 = 200
C236 = 215
C237 = 224
C238 = 233
C239 = 242
C240 = 257
C241 = 266
C242 = 275
C243 = 284
C244 = 299
C245 = 308
C246 = 317
C247 = 326
C248 = 341
C249 = 350
C250 = 359
C251 = 368
C252 = 383
C253 = 392
C254 = 401
C255 = 410
C256 = 425
C257 = 434
C258 = 443
C259 = 452
C260 = 467
C261 = 476
C262 = 485
C263 = 491
C264 = 500
C265 = 509
C266 = 20
C267 = 29
C268 = 38
C269 = 47
C270 = 59
C271 = 68
C272 = 77
C273 = 86
C274 = 95
C275 = 104
C276 = 113
C277 = 125
C278 = 134
C279 = 143
C280 = 152
C281 = 161
C282 = 170
C283 = 179
C284 = 188
C285 = 197
C286 = 209
C287 = 218
C288 = 227
C289 = 236
C290 = 245
C291 = 254
C292 = 263
C293 = 272
C294 = 281
C295 = 293
C296 = 302
C297 = 311
C298 = 320
C299 = 329
C300 = 338
C301 = 347
C302 = 356
C303 = 365
C304 = 374