Drawing tools bokeh

Bokeh is a Web browser designed for rendering in interactive visualization Python library. This is the core difference Bokeh with other visualization library.

• Interactive specifically for the Web browser, visualization Python plotting library
• Can be made as simple and beautiful interactive visualization D3.js, but with difficulty lower than D3.js.
• HTML documents or standalone server program
• It can handle large, dynamic flow data, or
• Support Python (or Scala, R, Julia ...)
• It does not require the use of Javascript

Bokeh Interface

• Charts: high-level interface, a simple way to draw complex charts
• Plotting: middle-level interface for assembling graphic elements
• Models: low-level interface, providing maximum flexibility for developers

包引用from bokeh.io import output_notebook, output_file, showfrom bokeh.charts import Scatter, Bar, BoxPlot, Chordfrom bokeh.layouts import rowimport seaborn as snsexercise = sns.load_dataset('exercise')output_notebook()

• from bokeh.io import output_file .html document generation
• from boken.io import output_notebook in use in jupyter

Scatter Scatter

Sample code:

# 散点图p = Scatter(data=exercise, x='id', y='pulse', title='exercise dataset')show(p)

operation result:

 

Histogram Bar

Sample code:

# 柱状图p = Bar(data=exercise, values='pulse', label='diet', stack='kind', title='exercise dataset')show(p)

operation result:

 

Box Figure BoxPlot

Sample code:

# 盒子图box1 = BoxPlot(data=exercise, values='pulse', label='diet', color='diet', title='exercise dataset')box2 = BoxPlot(data=exercise, values='pulse', label='diet', stack='kind', color='kind', title='exercise dataset')show(row(box1, box2))

运行结果：

 

 

<ignore_js_op>弦图 Chord

• 展示多个节点之间的联系

• 连线的粗细代表权重

示例代码：

# 弦图 Chordchord1 = Chord(data=exercise, source="id", target="kind")chord2 = Chord(data=exercise, source="id", target="kind", value="pulse")show(row(chord1, chord2))

运行结果：

 

 

<ignore_js_op>bokeh.plotting方框 square, 圆形 circle

示例代码：

from bokeh.plotting import figureimport numpy as npp = figure(plot_width=400, plot_height=400)# 方框p.square(np.random.randint(1,10,5), np.random.randint(1,10,5), size=20, color="navy")# 圆形p.circle(np.random.randint(1,10,5), np.random.randint(1,10,5), size=10, color="green")show(p)

运行结果：

 

<ignore_js_op>

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