前言：
过着有史以来最长的寒假，这阵子在学习Python数据分析，接触到了iris.csv，当时就感觉这东西有点神奇[○･｀Д´･ ○]，后来了解到，原来它就是所谓的鸢尾花卉数据集。
IRIS 数据集
Iris数据集也称鸢尾花卉数据集，是一类多重变量分析，在数据挖掘、数据分类中非常常用的测试集、训练集。该数据集包含150个数据样本，分为3类，每类50个数据，每个数据包含4个属性。
Iris以鸢尾花的特征作为数据来源，常用在分类操作中。该数据集由3种不同类型的鸢尾花的50个样本数据构成。其中的一个种类与另外两个种类是线性可分离的，后两个种类是非线性可分离的，可通过属性预测鸢尾花卉属于哪一类。
四个属性：
Sepal.Length（花萼长度），单位是cm;
Sepal.Width（花萼宽度），单位是cm;
Petal.Length（花瓣长度），单位是cm;
Petal.Width（花瓣宽度），单位是cm;
三个种类：
Iris Setosa（山鸢尾）；
Iris Versicolour（杂色鸢尾）；
Iris Virginica（维吉尼亚鸢尾）。
具体内容如下：
| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species | |
| 1 | 5.1 | 3.5 | 1.4 | 0.2 | setosa |
| 2 | 4.9 | 3 | 1.4 | 0.2 | setosa |
| 3 | 4.7 | 3.2 | 1.3 | 0.2 | setosa |
| 4 | 4.6 | 3.1 | 1.5 | 0.2 | setosa |
| 5 | 5 | 3.6 | 1.4 | 0.2 | setosa |
| 6 | 5.4 | 3.9 | 1.7 | 0.4 | setosa |
| 7 | 4.6 | 3.4 | 1.4 | 0.3 | setosa |
| 8 | 5 | 3.4 | 1.5 | 0.2 | setosa |
| 9 | 4.4 | 2.9 | 1.4 | 0.2 | setosa |
| 10 | 4.9 | 3.1 | 1.5 | 0.1 | setosa |
| 11 | 5.4 | 3.7 | 1.5 | 0.2 | setosa |
| 12 | 4.8 | 3.4 | 1.6 | 0.2 | setosa |
| 13 | 4.8 | 3 | 1.4 | 0.1 | setosa |
| 14 | 4.3 | 3 | 1.1 | 0.1 | setosa |
| 15 | 5.8 | 4 | 1.2 | 0.2 | setosa |
| 16 | 5.7 | 4.4 | 1.5 | 0.4 | setosa |
| 17 | 5.4 | 3.9 | 1.3 | 0.4 | setosa |
| 18 | 5.1 | 3.5 | 1.4 | 0.3 | setosa |
| 19 | 5.7 | 3.8 | 1.7 | 0.3 | setosa |
| 20 | 5.1 | 3.8 | 1.5 | 0.3 | setosa |
| 21 | 5.4 | 3.4 | 1.7 | 0.2 | setosa |
| 22 | 5.1 | 3.7 | 1.5 | 0.4 | setosa |
| 23 | 4.6 | 3.6 | 1 | 0.2 | setosa |
| 24 | 5.1 | 3.3 | 1.7 | 0.5 | setosa |
| 25 | 4.8 | 3.4 | 1.9 | 0.2 | setosa |
| 26 | 5 | 3 | 1.6 | 0.2 | setosa |
| 27 | 5 | 3.4 | 1.6 | 0.4 | setosa |
| 28 | 5.2 | 3.5 | 1.5 | 0.2 | setosa |
| 29 | 5.2 | 3.4 | 1.4 | 0.2 | setosa |
| 30 | 4.7 | 3.2 | 1.6 | 0.2 | setosa |
| 31 | 4.8 | 3.1 | 1.6 | 0.2 | setosa |
| 32 | 5.4 | 3.4 | 1.5 | 0.4 | setosa |
| 33 | 5.2 | 4.1 | 1.5 | 0.1 | setosa |
| 34 | 5.5 | 4.2 | 1.4 | 0.2 | setosa |
| 35 | 4.9 | 3.1 | 1.5 | 0.2 | setosa |
| 36 | 5 | 3.2 | 1.2 | 0.2 | setosa |
| 37 | 5.5 | 3.5 | 1.3 | 0.2 | setosa |
| 38 | 4.9 | 3.6 | 1.4 | 0.1 | setosa |
| 39 | 4.4 | 3 | 1.3 | 0.2 | setosa |
| 40 | 5.1 | 3.4 | 1.5 | 0.2 | setosa |
| 41 | 5 | 3.5 | 1.3 | 0.3 | setosa |
| 42 | 4.5 | 2.3 | 1.3 | 0.3 | setosa |
| 43 | 4.4 | 3.2 | 1.3 | 0.2 | setosa |
| 44 | 5 | 3.5 | 1.6 | 0.6 | setosa |
| 45 | 5.1 | 3.8 | 1.9 | 0.4 | setosa |
| 46 | 4.8 | 3 | 1.4 | 0.3 | setosa |
| 47 | 5.1 | 3.8 | 1.6 | 0.2 | setosa |
| 48 | 4.6 | 3.2 | 1.4 | 0.2 | setosa |
| 49 | 5.3 | 3.7 | 1.5 | 0.2 | setosa |
| 50 | 5 | 3.3 | 1.4 | 0.2 | setosa |
| 51 | 7 | 3.2 | 4.7 | 1.4 | versicolor |
| 52 | 6.4 | 3.2 | 4.5 | 1.5 | versicolor |
| 53 | 6.9 | 3.1 | 4.9 | 1.5 | versicolor |
| 54 | 5.5 | 2.3 | 4 | 1.3 | versicolor |
| 55 | 6.5 | 2.8 | 4.6 | 1.5 | versicolor |
| 56 | 5.7 | 2.8 | 4.5 | 1.3 | versicolor |
| 57 | 6.3 | 3.3 | 4.7 | 1.6 | versicolor |
| 58 | 4.9 | 2.4 | 3.3 | 1 | versicolor |
| 59 | 6.6 | 2.9 | 4.6 | 1.3 | versicolor |
| 60 | 5.2 | 2.7 | 3.9 | 1.4 | versicolor |
| 61 | 5 | 2 | 3.5 | 1 | versicolor |
| 62 | 5.9 | 3 | 4.2 | 1.5 | versicolor |
| 63 | 6 | 2.2 | 4 | 1 | versicolor |
| 64 | 6.1 | 2.9 | 4.7 | 1.4 | versicolor |
| 65 | 5.6 | 2.9 | 3.6 | 1.3 | versicolor |
| 66 | 6.7 | 3.1 | 4.4 | 1.4 | versicolor |
| 67 | 5.6 | 3 | 4.5 | 1.5 | versicolor |
| 68 | 5.8 | 2.7 | 4.1 | 1 | versicolor |
| 69 | 6.2 | 2.2 | 4.5 | 1.5 | versicolor |
| 70 | 5.6 | 2.5 | 3.9 | 1.1 | versicolor |
| 71 | 5.9 | 3.2 | 4.8 | 1.8 | versicolor |
| 72 | 6.1 | 2.8 | 4 | 1.3 | versicolor |
| 73 | 6.3 | 2.5 | 4.9 | 1.5 | versicolor |
| 74 | 6.1 | 2.8 | 4.7 | 1.2 | versicolor |
| 75 | 6.4 | 2.9 | 4.3 | 1.3 | versicolor |
| 76 | 6.6 | 3 | 4.4 | 1.4 | versicolor |
| 77 | 6.8 | 2.8 | 4.8 | 1.4 | versicolor |
| 78 | 6.7 | 3 | 5 | 1.7 | versicolor |
| 79 | 6 | 2.9 | 4.5 | 1.5 | versicolor |
| 80 | 5.7 | 2.6 | 3.5 | 1 | versicolor |
| 81 | 5.5 | 2.4 | 3.8 | 1.1 | versicolor |
| 82 | 5.5 | 2.4 | 3.7 | 1 | versicolor |
| 83 | 5.8 | 2.7 | 3.9 | 1.2 | versicolor |
| 84 | 6 | 2.7 | 5.1 | 1.6 | versicolor |
| 85 | 5.4 | 3 | 4.5 | 1.5 | versicolor |
| 86 | 6 | 3.4 | 4.5 | 1.6 | versicolor |
| 87 | 6.7 | 3.1 | 4.7 | 1.5 | versicolor |
| 88 | 6.3 | 2.3 | 4.4 | 1.3 | versicolor |
| 89 | 5.6 | 3 | 4.1 | 1.3 | versicolor |
| 90 | 5.5 | 2.5 | 4 | 1.3 | versicolor |
| 91 | 5.5 | 2.6 | 4.4 | 1.2 | versicolor |
| 92 | 6.1 | 3 | 4.6 | 1.4 | versicolor |
| 93 | 5.8 | 2.6 | 4 | 1.2 | versicolor |
| 94 | 5 | 2.3 | 3.3 | 1 | versicolor |
| 95 | 5.6 | 2.7 | 4.2 | 1.3 | versicolor |
| 96 | 5.7 | 3 | 4.2 | 1.2 | versicolor |
| 97 | 5.7 | 2.9 | 4.2 | 1.3 | versicolor |
| 98 | 6.2 | 2.9 | 4.3 | 1.3 | versicolor |
| 99 | 5.1 | 2.5 | 3 | 1.1 | versicolor |
| 100 | 5.7 | 2.8 | 4.1 | 1.3 | versicolor |
| 101 | 6.3 | 3.3 | 6 | 2.5 | virginica |
| 102 | 5.8 | 2.7 | 5.1 | 1.9 | virginica |
| 103 | 7.1 | 3 | 5.9 | 2.1 | virginica |
| 104 | 6.3 | 2.9 | 5.6 | 1.8 | virginica |
| 105 | 6.5 | 3 | 5.8 | 2.2 | virginica |
| 106 | 7.6 | 3 | 6.6 | 2.1 | virginica |
| 107 | 4.9 | 2.5 | 4.5 | 1.7 | virginica |
| 108 | 7.3 | 2.9 | 6.3 | 1.8 | virginica |
| 109 | 6.7 | 2.5 | 5.8 | 1.8 | virginica |
| 110 | 7.2 | 3.6 | 6.1 | 2.5 | virginica |
| 111 | 6.5 | 3.2 | 5.1 | 2 | virginica |
| 112 | 6.4 | 2.7 | 5.3 | 1.9 | virginica |
| 113 | 6.8 | 3 | 5.5 | 2.1 | virginica |
| 114 | 5.7 | 2.5 | 5 | 2 | virginica |
| 115 | 5.8 | 2.8 | 5.1 | 2.4 | virginica |
| 116 | 6.4 | 3.2 | 5.3 | 2.3 | virginica |
| 117 | 6.5 | 3 | 5.5 | 1.8 | virginica |
| 118 | 7.7 | 3.8 | 6.7 | 2.2 | virginica |
| 119 | 7.7 | 2.6 | 6.9 | 2.3 | virginica |
| 120 | 6 | 2.2 | 5 | 1.5 | virginica |
| 121 | 6.9 | 3.2 | 5.7 | 2.3 | virginica |
| 122 | 5.6 | 2.8 | 4.9 | 2 | virginica |
| 123 | 7.7 | 2.8 | 6.7 | 2 | virginica |
| 124 | 6.3 | 2.7 | 4.9 | 1.8 | virginica |
| 125 | 6.7 | 3.3 | 5.7 | 2.1 | virginica |
| 126 | 7.2 | 3.2 | 6 | 1.8 | virginica |
| 127 | 6.2 | 2.8 | 4.8 | 1.8 | virginica |
| 128 | 6.1 | 3 | 4.9 | 1.8 | virginica |
| 129 | 6.4 | 2.8 | 5.6 | 2.1 | virginica |
| 130 | 7.2 | 3 | 5.8 | 1.6 | virginica |
| 131 | 7.4 | 2.8 | 6.1 | 1.9 | virginica |
| 132 | 7.9 | 3.8 | 6.4 | 2 | virginica |
| 133 | 6.4 | 2.8 | 5.6 | 2.2 | virginica |
| 134 | 6.3 | 2.8 | 5.1 | 1.5 | virginica |
| 135 | 6.1 | 2.6 | 5.6 | 1.4 | virginica |
| 136 | 7.7 | 3 | 6.1 | 2.3 | virginica |
| 137 | 6.3 | 3.4 | 5.6 | 2.4 | virginica |
| 138 | 6.4 | 3.1 | 5.5 | 1.8 | virginica |
| 139 | 6 | 3 | 4.8 | 1.8 | virginica |
| 140 | 6.9 | 3.1 | 5.4 | 2.1 | virginica |
| 141 | 6.7 | 3.1 | 5.6 | 2.4 | virginica |
| 142 | 6.9 | 3.1 | 5.1 | 2.3 | virginica |
| 143 | 5.8 | 2.7 | 5.1 | 1.9 | virginica |
| 144 | 6.8 | 3.2 | 5.9 | 2.3 | virginica |
| 145 | 6.7 | 3.3 | 5.7 | 2.5 | virginica |
| 146 | 6.7 | 3 | 5.2 | 2.3 | virginica |
| 147 | 6.3 | 2.5 | 5 | 1.9 | virginica |
| 148 | 6.5 | 3 | 5.2 | 2 | virginica |
| 149 | 6.2 | 3.4 | 5.4 | 2.3 | virginica |
| 150 | 5.9 | 3 | 5.1 | 1.8 | virginica |
Iris数据集.txt和.csv下载：
链接：https://pan.baidu.com/s/1ReA5RjAUvph0BYyYIHBlYg 提取码：2grr
恳请下载好的小伙伴点赞留言，蟹蟹哦，加油ヾ(◍°∇°◍)ﾉﾞ