-重点讲分分页
① 筛选数据 - 显示/隐藏
② 交互小工具，参考文档：http://bokeh.pydata.org/en/latest/docs/user_guide/interaction/widgets.html#pretext

1.导入相关模块

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
% matplotlib inline

import warnings
warnings.filterwarnings('ignore') 
# 不发出警告

from bokeh.io import output_notebook
output_notebook()
# 导入notebook绘图模块

from bokeh.plotting import figure,show
from bokeh.models import ColumnDataSource
# 导入图表绘制、图标展示模块
# 导入ColumnDataSource模块

2.筛选数据 - 隐藏

# legend.click_policy

from bokeh.palettes import Spectral4
# 导入颜色模块

df = pd.DataFrame({'A':np.random.randn(500).cumsum(),
                  'B':np.random.randn(500).cumsum(),
                  'C':np.random.randn(500).cumsum(),
                  'D':np.random.randn(500).cumsum()},
                 index = pd.date_range('20180101',freq = 'D',periods=500))
# 创建数据

p = figure(plot_width=800, plot_height=400, x_axis_type="datetime")
p.title.text = '点击图例来隐藏数据'
print( df.columns.tolist())
for col,color in zip(df.columns.tolist(),Spectral4):
    p.line(df.index,df[col],line_width=2, color=color, alpha=0.8,legend = col)

p.legend.location = "top_left"
p.legend.click_policy="hide"
# 设置图例，点击隐藏

show(p)

image.png

3.筛选数据 - 消隐（隐藏的颜色也可以设置）

# legend.click_policy

from bokeh.palettes import Spectral4
# 导入颜色模块

df = pd.DataFrame({'A':np.random.randn(500).cumsum(),
                  'B':np.random.randn(500).cumsum(),
                  'C':np.random.randn(500).cumsum(),
                  'D':np.random.randn(500).cumsum()},
                 index = pd.date_range('20180101',freq = 'D',periods=500))
# 创建数据

p = figure(plot_width=800, plot_height=400, x_axis_type="datetime")
p.title.text = '点击图例来隐藏数据'

for col,color in zip(df.columns.tolist(),Spectral4):
    p.line(df.index,df[col],line_width=2, color=color, alpha=0.8,legend = col,
           muted_color=color, muted_alpha=0.2)   # 设置消隐后的显示颜色、透明度

p.legend.location = "top_left"
p.legend.click_policy="mute"
# 设置图例，点击隐藏

show(p)

image.png

4.交互小工具-图表分页

rom bokeh.models.widgets import Panel, Tabs
# 导入panel，tabs模块

p1 = figure(plot_width=500, plot_height=300)
p1.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color="navy", alpha=0.5)
tab1 = Panel(child=p1, title="circle")
# child → 页码
# title → 分页名称

p2 = figure(plot_width=500, plot_height=300)
p2.line([1, 2, 3, 4, 5], [4, 2, 3, 8, 6], line_width=3, color="navy", alpha=0.5)
tab2 = Panel(child=p2, title="line")

tabs = Tabs(tabs=[ tab1, tab2 ])
# 设置分页图表

show(tabs)

image.png

image.png