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.LengthSepal.WidthPetal.LengthPetal.WidthSpecies15.13.51.40.2setosa24.931.40.2setosa34.73.21.30.2setosa44.63.11.50.2setosa553.61.40.2setosa65.43.91.70.4setosa74.63.41.40.3setosa853.41.50.2setosa94.42.91.40.2setosa104.93.11.50.1setosa115.43.71.50.2setosa124.83.41.60.2setosa134.831.40.1setosa144.331.10.1setosa155.841.20.2setosa165.74.41.50.4setosa175.43.91.30.4setosa185.13.51.40.3setosa195.73.81.70.3setosa205.13.81.50.3setosa215.43.41.70.2setosa225.13.71.50.4setosa234.63.610.2setosa245.13.31.70.5setosa254.83.41.90.2setosa26531.60.2setosa2753.41.60.4setosa285.23.51.50.2setosa295.23.41.40.2setosa304.73.21.60.2setosa314.83.11.60.2setosa325.43.41.50.4setosa335.24.11.50.1setosa345.54.21.40.2setosa354.93.11.50.2setosa3653.21.20.2setosa375.53.51.30.2setosa384.93.61.40.1setosa394.431.30.2setosa405.13.41.50.2setosa4153.51.30.3setosa424.52.31.30.3setosa434.43.21.30.2setosa4453.51.60.6setosa455.13.81.90.4setosa464.831.40.3setosa475.13.81.60.2setosa484.63.21.40.2setosa495.33.71.50.2setosa5053.31.40.2setosa5173.24.71.4versicolor526.43.24.51.5versicolor536.93.14.91.5versicolor545.52.341.3versicolor556.52.84.61.5versicolor565.72.84.51.3versicolor576.33.34.71.6versicolor584.92.43.31versicolor596.62.94.61.3versicolor605.22.73.91.4versicolor61523.51versicolor625.934.21.5versicolor6362.241versicolor646.12.94.71.4versicolor655.62.93.61.3versicolor666.73.14.41.4versicolor675.634.51.5versicolor685.82.74.11versicolor696.22.24.51.5versicolor705.62.53.91.1versicolor715.93.24.81.8versicolor726.12.841.3versicolor736.32.54.91.5versicolor746.12.84.71.2versicolor756.42.94.31.3versicolor766.634.41.4versicolor776.82.84.81.4versicolor786.7351.7versicolor7962.94.51.5versicolor805.72.63.51versicolor815.52.43.81.1versicolor825.52.43.71versicolor835.82.73.91.2versicolor8462.75.11.6versicolor855.434.51.5versicolor8663.44.51.6versicolor876.73.14.71.5versicolor886.32.34.41.3versicolor895.634.11.3versicolor905.52.541.3versicolor915.52.64.41.2versicolor926.134.61.4versicolor935.82.641.2versicolor9452.33.31versicolor955.62.74.21.3versicolor965.734.21.2versicolor975.72.94.21.3versicolor986.22.94.31.3versicolor995.12.531.1versicolor1005.72.84.11.3versicolor1016.33.362.5virginica1025.82.75.11.9virginica1037.135.92.1virginica1046.32.95.61.8virginica1056.535.82.2virginica1067.636.62.1virginica1074.92.54.51.7virginica1087.32.96.31.8virginica1096.72.55.81.8virginica1107.23.66.12.5virginica1116.53.25.12virginica1126.42.75.31.9virginica1136.835.52.1virginica1145.72.552virginica1155.82.85.12.4virginica1166.43.25.32.3virginica1176.535.51.8virginica1187.73.86.72.2virginica1197.72.66.92.3virginica12062.251.5virginica1216.93.25.72.3virginica1225.62.84.92virginica1237.72.86.72virginica1246.32.74.91.8virginica1256.73.35.72.1virginica1267.23.261.8virginica1276.22.84.81.8virginica1286.134.91.8virginica1296.42.85.62.1virginica1307.235.81.6virginica1317.42.86.11.9virginica1327.93.86.42virginica1336.42.85.62.2virginica1346.32.85.11.5virginica1356.12.65.61.4virginica1367.736.12.3virginica1376.33.45.62.4virginica1386.43.15.51.8virginica139634.81.8virginica1406.93.15.42.1virginica1416.73.15.62.4virginica1426.93.15.12.3virginica1435.82.75.11.9virginica1446.83.25.92.3virginica1456.73.35.72.5virginica1466.735.22.3virginica1476.32.551.9virginica1486.535.22virginica1496.23.45.42.3virginica1505.935.11.8virginica
