Datatables Seamless Notebook

In [1]:

    

import itables  # inserts require.js script/css tags into the Jupyter Notebook web page


    

In [2]:

    

import seamless.highlevel
ctx = seamless.highlevel.load_graph("datatables.seamless", zip="datatables.zip")
await ctx.computation()


    

    




Seamless buffer cache cleanup is currently disabled.
This prevents data loss from bugs in Seamless's buffer caching.
If you have memory issues, restart Python periodically,
 and/or use Redis to store buffers

In [3]:

    

from ipywidgets import IntSlider


    

In [4]:

    

a_first = IntSlider(min=0,max=10,step=1)
ctx.a_first.traitlet().link(a_first)
a_step = IntSlider(min=0,max=20,step=1)
ctx.a_step.traitlet().link(a_step)
a_first


    

In [5]:

    

ctx.a_first.value


    

    
Out[5]:





5

In [6]:

    

o = ctx.datatable.output()
o.output_instance.layout.min_height = "500px"    # Jupyter workaround
o


    

In [7]:

    

# A OutputWidget refresh must be triggered manually once when initialization is finished
# For subsequent updates, the table updates correctly already

import asyncio
await asyncio.sleep(1)
o.refresh()


    

    




ctx.auto_translate is currently unstable and has been disabled
You must run regularly "ctx.translate()" (IPython) 
or "await ctx.translation()" (Jupyter) after modifying the graph. 
Translation is not required after modifying only cell values