Python.对鸢尾花数据集进行可视化操作，对数据分析

话不多说直接上代码

import pandas as pd import matplotlib.pyplot as plt # 创建plt画布 import numpy as np ### 读取数据 iris = pd.read_csv(r'iris.csv') print(iris) ## 输出 ## 从文件iris中 对 Species列进行种类分离 并以 setosa,virginica,versicolor 命名 setosa = iris[iris['Species'] == 'setosa'] virginica = iris[iris['Species'] == 'virginica'] versicolor = iris[iris['Species'] == 'versicolor'] ###### 转换编码 plt. 为创建的画板名 plt.rcParams['font.sans-serif']=['SimHei'] plt.rcParams['axes.unicode_minus'] = False fig = plt.figure() ### 创建第一个名表别名为 ax1 位置在 321 ax1 = fig.add_subplot(321) ax1.set(title='据萼片长度和宽度的种类分布图',ylabel='Setal_width',xlabel='Setal_length') ### 统计表中三种花的萼长和萼宽度 x1 = setosa['Setal_length'] x2 = virginica['Setal_length'] x3 = versicolor['Setal_length'] y1 = setosa['Setal_width']<