使用Bokeh在Jupyter笔记本中拥有多个实时绘图

!pip install bokeh

from bokeh.io import output_notebook, show
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource
from bokeh.layouts import gridplot

output_notebook()

source1 = ColumnDataSource(data=dict(x=[], y=[]))
source2 = ColumnDataSource(data=dict(x=[], y=[]))

plot1 = figure(plot_width=400, plot_height=400)
plot2 = figure(plot_width=400, plot_height=400)

plot1.line(x='x', y='y', source=source1)
plot2.line(x='x', y='y', source=source2)

def update_data():
    # 更新数据源的数据
    new_data1 = dict(x=[...], y=[...])  # 更新plot1的数据
    new_data2 = dict(x=[...], y=[...])  # 更新plot2的数据
    source1.data = new_data1
    source2.data = new_data2

# 调用回调函数，更新数据
update_data()

grid = gridplot([[plot1, plot2]])

show(grid)