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转载最新推荐文章于 2025-11-12 14:47:05 发布 1.1k 阅读 AI 写同款· GEO 优化 ›

使用python实现随机正态分布数据，并导出到表格（超详细）最近需要大量的正态分布的数据，为了方便，使用python实现随机正态分布，画出理想正态分布图和实际的矩形分布，并导出到表格里面。以上就是今天要讲的内容，本文仅仅简单介绍了使用python随机生成正态分布的数据，画图，并导出。正态分布是机器学习中很常见的一种需求，往往需要大量的数据进行测试，此时，本文的方法就可以大大减少因数据而花费的时间啦！如有问题，欢迎评论区留言啊！阅读详情

网站发布以后需要测试性能。

参考这里http://www.ha97.com/4617.html

执行命令

ab -r -n 1000 -c 1000 http://＊＊＊＊.com/category/join/

结果，惨不忍睹啊。平均并发处理25个连接/秒.

Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking znanren.com (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Completed 1000 requests
Finished 1000 requests


Server Software:        Jexus/5.4.0
Server Hostname:        ＊＊＊＊.com
Server Port:            80

Document Path:          /category/join/
Document Length:        88 bytes

Concurrency Level:      1000
Time taken for tests:   39.003 seconds
Complete requests:      1000
Failed requests:        118
   (Connect: 0, Receive: 0, Length: 118, Exceptions: 0)
Write errors:           0
Non-2xx responses:      1000
Total transferred:      286844 bytes
HTML transferred:       97204 bytes
Requests per second:    25.64 [#/sec] (mean)
Time per request:       39002.709 [ms] (mean)
Time per request:       39.003 [ms] (mean, across all concurrent requests)
Transfer rate:          7.18 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:      189 6084 6382.0   5004   19790
Processing:   194 11164 5044.0  12054   18740
Waiting:      194 11163 5045.0  12054   18740
Total:       1530 17249 9668.0  16213   38394

Percentage of the requests served within a certain time (ms)
  50%  16213
  66%  18854
  75%  22330
  80%  25380
  90%  31169
  95%  36867
  98%  37810
  99%  38177
 100%  38394 (longest request)

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