from nvd3 import scatterChart
import pandas as pd
#scikit-learn 库内置著名的Iris植物分类数据集
from sklearn.datasets import load_iris
# 源数据data读取
dataset = load_iris()
data = pd.DataFrame(dataset.data,columns = ('sepalLength','sepalWidth','petalLength','petalWidth'))
data['species'] = dataset.target
type = "Iris Morphology"
# 创建画布
chart = scatterChart(name=type, height=600, width=1024, x_is_date=False)
# 设置标题
chart.set_containerheader("    " + type + "   ")
# 数据分类
xdata1 = list(data[data['species']==0]['sepalLength'])
ydata1 = list(data[data['species']==0]['sepalWidth'])
xdata2 = list(data[data['species']==0]['petalLength'])
ydata2 = list(data[data['species']==0]['petalWidth'])
xdata3 = list(data[data['species']==1]['sepalLength'])
ydata3 = list(data[data['species']==1]['sepalWidth'])
xdata4 = list(data[data['species']==1]['petalLength'])
ydata4 = list(data[data['species']==1]['petalWidth'])
xdata5 = list(data[data['species']==2]['sepalLength'])
ydata5 = list(data[data['species']==2]['sepalWidth'])
xdata6 = list(data[data['species']==2]['petalLength'])
ydata6 = list(data[data['species']==2]['petalWidth'])
# 设置图例属性，还有一个color属性，不过不建议设，没有默认好看。
kwargs1 = {'shape': 'circle', 'size': '1'}
kwargs2 = {'shape': 'cross', 'size': '10'}
kwargs3 = {'shape': 'triangle-up', 'size': '15'}
kwargs4 = {'shape': 'triangle-down', 'size': '30'}
kwargs5 = {'shape': 'diamond', 'size': '10'}
kwargs6 = {'shape': 'square', 'size': '20'}
# 设置指向插件显示内容，散点图不显示
extra_serie = {"tooltip": {"y_start": "", "y_end": " calls"}}
chart.add_serie(name="sepal 0", y=ydata1, x=xdata1, extra=extra_serie, **kwargs1)
chart.add_serie(name="petal 0", y=ydata2, x=xdata2, extra=extra_serie, **kwargs2)
chart.add_serie(name="sepal 1", y=ydata3, x=xdata3, extra=extra_serie, **kwargs3)
chart.add_serie(name="petal 1", y=ydata4, x=xdata4, extra=extra_serie, **kwargs4)
chart.add_serie(name="sepal 2", y=ydata5, x=xdata5, extra=extra_serie, **kwargs5)
chart.add_serie(name="petal 2", y=ydata6, x=xdata6, extra=extra_serie, **kwargs6)
# 生成html源码
chart.buildhtml()
# 保存本地
output_file = open('Iris_Morphology.html', 'w')
output_file.write(chart.htmlcontent)
output_file.close()

 效果图http://s16/mw690/005Zx9zgzy7dJL0ewJFff&690

http://s14/mw690/005Zx9zgzy7dJL0gUk51d&690
http://wx4/large/77ec4507gy1fiw6q6hmedj21kw11x166.jpg
html源码