只需要一行代码 mpld3.display()/mpld3.enable_notebook() 即可让 matplotlib/sdeaborn画的图有交互性

import numpy as np
import matplotlib.pyplot as plt
import mpld3

x=np.random.random(1000)
y=np.random.random(1000)

plt.hist2d(x,y,bins=(100,100))
mpld3.enable_notebook()

 

import seaborn as sns

vp_df = pd.read_csv('https://raw.githubusercontent.com/visualpython/visualpython/main/visualpython/data/sample_csv/iris.csv')

sns.scatterplot(x='sepal_length',
                y='sepal_width',
                data=vp_df,
               hue='variety')
mpld3.display()

 

如果想让这样的交互图像去除交互性，只需mpld3.disable_notebook()即可