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依旧少年银虫 (初入文坛)
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[求助]
数据分析（python或Matlab均可） 已有1人参与
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在做数据拟合的过程中，得到300个数据，但是数据之间差异性太大，我最后想得到30个左右的值，有什么好的方法？下面是对这300数据的简单分析： mean 159.4604181 std 14.08847471 min 125.115372 25% 149.8761805 50% 159.13718 75% 168.4387325 max 206.164806 附上300数据： 179.810669 175.676689 184.907814 185.026245 176.046089 180.488594 162.373795 142.625153 156.730606 171.185516182.506538 171.279892 157.094376 175.523239 138.663803 154.037315 146.47934 166.05497 154.187614 160.262428165.520088 159.510735 168.477242 155.714188 159.907532 154.23027 148.736519 168.688332 160.950378 150.446991154.586983 169.485733 179.650826 177.456154 164.688042 158.481346 157.529823 177.155075 195.534782 185.3591 166.674973 169.619331 163.814583 171.758568 178.962212 166.57563 168.160606 175.033401 166.368645 155.475143 164.136368 129.815918 171.380379 139.883484 155.503197 144.567993 148.340202 146.3424 159.094955 138.338203 140.137421 171.319687 153.106209 165.617142 165.526573 162.551674 149.410728 169.361961 169.951523 167.23304 154.108025 147.144096 146.922226 143.736519 174.33152 178.938164 174.354897 168.984444 169.659035 159.179405 164.230553 174.717148 168.7015 168.840828 165.545853 149.285713 149.012978 156.370644 171.694534 160.497284 152.712379 162.705696 150.347458 173.261192 147.494514 175.424751 178.045708 171.828514 165.673157 160.281517 159.184944 149.384384 156.638893 173.703499 162.53994 154.150589 161.535164 162.097717 166.458252 152.737953 152.43277 164.732224 161.109459 161.410538 151.811913 144.878899 151.292107 174.201546 179.860199 156.777939 157.412254 128.193626 134.273026 165.721443 151.169197 146.080826 158.473038 156.739098 164.361488 165.708656 168.370171 131.646339 138.349174 140.834816 140.425423 141.339821 153.862488 132.983589 143.058212 157.537552 140.514938 165.444321 164.64386 152.068802 164.700546 157.977196 161.475334 152.682129 159.353088 181.302414 177.709511 174.072334 161.575821 153.542702 167.670769 177.191048 161.461784 163.927948 166.825462 147.836052 155.826508 165.665619 147.922226 150.064796 142.898941 154.046188 176.772972 162.681747 133.64357 153.721153 183.379425 170.639091 174.363014 152.349274 171.839104 154.853706 160.088364 152.339348 147.243919 167.363869 163.696533 169.445465 149.822212 188.664185 149.297455 149.38324 162.856377 167.585457 149.559311 142.964882 129.458916 160.373032 162.140373 155.924423 155.679741 154.898079 139.470657 155.763046 156.382004 149.876038 134.911156 134.708656 157.063934 143.389061 138.854088 146.451187 143.490692 170.697395 165.124054 171.297455 148.049622 156.399467 149.876228 162.300697 149.619713 143.149063 148.450333 155.154694 168.817543 169.427711 161.739861 149.329041 137.551292 162.045517 155.713234 167.576202 147.337914 156.440407 169.3153 170.732796 158.153931 148.641853 160.371506 152.678215 151.62735 144.289818 150.412636 135.979866 158.555397 144.935394 152.542038 131.922989 125.718201 160.387344 150.361771 159.63842 150.993797 141.396507 161.954765 125.115372 138.610939 156.862579 155.175972 146.390205 185.087791 164.873558 160.305084 194.200592 168.425896 168.09037 147.101822 161.535454 151.740341 162.898369 169.418549 143.773643 164.353752 175.510162 206.164806 198.906193 204.26844 173.567131 177.433823 187.072243 187.453857 180.494034 202.663326 198.192097 145.617523 148.858864 174.640137 159.404617 153.754082 150.244583 133.0271 156.841972 152.707985 172.945221 155.878998 150.713615 162.749596 151.863152 153.257278 133.326752 147.612083 151.167763 158.199638 161.290581 149.243629 155.955055 |
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2楼2018-05-31 10:01:55
