In [23]:

    

import numpy as np
import pandas as pd
from IPython.core.display import HTML

import bokeh
print('Bokeh version:', bokeh.__version__)


    

    




Bokeh version: 0.12.13

In [24]:

    

df = pd.read_csv('stress_strain_data.csv', sep=',', header=None, skiprows=0)
df.columns = ['strain', 'stress']
df.head()


    

    
Out[24]:







  

    

      

      
strain
      
stress
    
  
  

    

      
0
      
0.000000
      
0.000
    
    

      
1
      
0.000605
      
43.821
    
    

      
2
      
0.001211
      
74.356
    
    

      
3
      
0.001816
      
104.930
    
    

      
4
      
0.002421
      
137.510
    
  

In [25]:

    

import holoviews as hv
hv.extension('bokeh')
import bokeh
print('holovies version: ', hv.__version__)
print('bokeh version, ', bokeh.__version__)


    

    















    


















  
  












    




holovies version:  1.9.2
bokeh version,  0.12.13

In [26]:

    

hv.archive.auto()
scatter = hv.Curve(df, 'strain', 'stress')
scatter


    

    















    




Automatic capture is now enabled. [2017-12-21 17:02:44]






    
Out[26]:







    

In [27]:

    

type(scatter)


    

    
Out[27]:





holoviews.element.chart.Curve

In [28]:

    

hv.archive.export()


    

    




Export name: 'bokeh_plot'
Directory    '/home/tribilium/Documents/staticsite/content/code/tensiletest'

If no output appears, please check holoviews.archive.last_export_status()






    

In [29]:

    

from IPython.core.display import HTML
HTML('/home/tribilium/Documents/staticsite/content/code/tensiletest/indx.html')


    

    
Out[29]:




/home/tribilium/Documents/staticsite/content/code/tensiletest/indx.html

In [30]:

    

from bokeh.plotting import figure, output_file, show
from bokeh.models import ColumnDataSource, CDSView, IndexFilter
from bokeh.layouts import gridplot

output_file("index_filter.html")

source = ColumnDataSource(data=dict(x=[1, 2, 3, 4, 5], y=[1, 2, 3, 4, 5]))
view = CDSView(source=source, filters=[IndexFilter([0, 2, 4])])

tools = ["box_select", "hover", "reset"]
p = figure(plot_height=300, plot_width=300, tools=tools)
p.circle(x="x", y="y", size=10, hover_color="red", source=source)

p_filtered = figure(plot_height=300, plot_width=300, tools=tools)
p_filtered.circle(x="x", y="y", size=10, hover_color="red", source=source, view=view)

show(gridplot([[p, p_filtered]]))


    

    




INFO:bokeh.io.state:Session output file 'index_filter.html' already exists, will be overwritten.






    







    








    

In [31]:

    

from IPython.core.display import HTML
HTML('index_filter.html')


    

    
Out[31]:








    
        
        
        

    
        
        

            

        
        
        
        
    

In [ ]: