http://bokeh.pydata.org/en/latest/docs/user_guide/quickstart.html#userguide-quickstart

安装

可以使用conda或者pip安装

conda install boken # 自动安装依赖库和例子 pip install bokeh # 需要自己手动安装依赖库，没有例子

开始

例1 基本过程

from bokeh.plotting import figure, output_file, show # 准本数据集 x = [1, 2, 3, 4, 5] y = [6, 7, 2, 4, 5] # 输出静态的html文件 output_file("lines.html") # 创建figure并设置相关属性 p = figure(title="simple line example", x_axis_label='x', y_axis_label='y') # 渲染直线图像 p.line(x, y, legend="Temp.", line_width=2) # 查看输出结果，会直接打开html show(p)

例2 调整mode

import numpy as np from bokeh.plotting import figure, output_file, show # 准备数据 N = 4000 x = np.random.random(size=N) * 100 y = np.random.random(size=N) * 100 radii = np.random.random(size=N) * 1.5 colors = [ "#xxx" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y) ] # 输出静态html文件爱呢(with CDN resources) output_file("color_scatter.html", title="color_scatter.py example", mode="cdn") TOOLS="resize,crosshair,pan,wheel_zoom,box_zoom,reset,box_select,lasso_select" # 创建画板 p = figure(tools=TOOLS, x_range=(0,100), y_range=(0,100)) # 渲染图形 p.circle(x,y, radius=radii, fill_color=colors, fill_alpha=0.6, line_color=None) # 展示结果 show(p)

例3 创建关联图形

linked panning (range联动)

import numpy as np from bokeh.layouts import gridplot from bokeh.plotting import figure, output_file, show # 准备数据集 N = 100 x = np.linspace(0, 4*np.pi, N) y0 = np.sin(x) y1 = np.cos(x) y2 = np.sin(x) + np.cos(x) # 输出静态html文件 output_file("linked_panning.html") # 创建第一个figure对象 s1 = figure(width=250, plot_height=250, title=None) s1.circle(x, y0, size=10, color="navy", alpha=0.5) # NEW: 创建第二个figure对象，共享双轴 s2 = figure(width=250, height=250, x_range=s1.x_range, y_range=s1.y_range, title=None) s2.triangle(x, y1, size=10, color="firebrick", alpha=0.5) # NEW: 创建一个figure对象，共享单轴 s3 = figure(width=250, height=250, x_range=s1.x_range, title=None) s3.square(x, y2, size=10, color="olive", alpha=0.5) # NEW: 将所有的figure放到一个figure中 p = gridplot([[s1, s2, s3]], toolbar_location=None) # 展示最后的结果 show(p)

linked brushing(source联动)

import numpy as np from bokeh.plotting import * from bokeh.models import ColumnDataSource # 准备数据 N = 300 x = np.linspace(0, 4*np.pi, N) y0 = np.sin(x) y1 = np.cos(x) # 创建静态html对象 output_file("linked_brushing.html") # NEW: 创建一列共享数据列 source = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1)) # 创建按钮 TOOLS = "pan,wheel_zoom,box_zoom,reset,save,box_select,lasso_select" # 创建一个画板 left = figure(tools=TOOLS, width=350, height=350, title=None) left.circle('x', 'y0', source=source) # 创建另一额画板 right = figure(tools=TOOLS, width=350, height=350, title=None) right.circle('x', 'y1', source=source) # 将画板放到同一个画板中 p = gridplot([[left, right]]) # 输出结果 show(p)

例4 时间序列处理

使用x_axis_type=”datetime”指定

Bokeh Plot Server