离线状态jupyter notebook plotly 离线状态下在jupyter notebook中使用plotly实例

import plotly
import plotly.offline as py
py.init_notebook_mode(connected=False)
import plotly.graph_objs as go

#log.txt
 
1 9 15
2 9 16
1 10 17
2 10 18
1 9 19

#!/usr/bin/env python
import plotly.offline as pltoff
import plotly.graph_objs as go
 
 
def line_plots(name="line_plots.html"):
 dataset = {
  'x': [],
  'y1': [],
  'y2': [],
  'y3': []
 }
 with open("./log.txt") as f:
  i = 0
  for line in f:
   items = line.split()
   dataset['x'].append(i)
   dataset['y1'].append(items[0])
   dataset['y2'].append(items[1])
   dataset['y3'].append(items[2])
   i += 1
 
 data_g = []
 
 # 构建 数据关系，折线图
 x_y1 = go.Scatter(
  x=dataset['x'],
  y=dataset['y1'],
  mode='lines',
  name='lines')
 data_g.append(x_y1)
 
 x_y2 = go.Scatter(
  x=dataset['x'],
  y=dataset['y2'],
  mode='markers',
  name='markers')
 data_g.append(x_y2)
 
 x_y3 = go.Scatter(
  x=dataset['x'],
  y=dataset['y3'],
  mode='lines+markers',
  name='lines+markers')
 data_g.append(x_y3)
 
 # 设置图表布局
 layout = go.Layout(title="Line plots",
      xaxis={'title': 'X'}, yaxis={'title': 'Y'})
 fig = go.Figure(data=data_g, layout=layout)
 # 生成离线html
 pltoff.plot(fig, filename=name)
 
 
if __name__ == '__main__':
 line_plots()