Why doesn't Dask dashboard update when I run some code? - python-2.7

Question

I'm trying to recreate the behaviour of the Dask dashboard as illustrated in this Youtube video https://www.youtube.com/watch?time_continue=1086&v=N_GqzcuGLCY. I can see my dashboard, but it doesn't update when I run a computation.
I'm running everything on my local machine (Kubuntu 18.04).
I used anaconda to set up my environment, including
python 2.7.14
dask 0.17.4
dask-core 0.17.4
bokeh 1.0.4
tornado 4.5.1
I set up my scheduler from the command line
dask-scheduler
distributed.scheduler - INFO - -----------------------------------------------
distributed.scheduler - INFO - Clear task state
distributed.scheduler - INFO - Scheduler at: tcp://192.168.1.204:8786
distributed.scheduler - INFO - bokeh at: :8787
distributed.scheduler - INFO - Local Directory: /tmp/scheduler-bYQe2p
distributed.scheduler - INFO - -----------------------------------------------
distributed.scheduler - INFO - Register tcp://127.0.0.1:35007
distributed.scheduler - INFO - Starting worker compute stream, tcp://127.0.0.1:35007
...and a worker too.
dask-worker localhost:8786
distributed.nanny - INFO - Start Nanny at: 'tcp://127.0.0.1:36345'
distributed.worker - INFO - Start worker at: tcp://127.0.0.1:44033
distributed.worker - INFO - Listening to: tcp://127.0.0.1:44033
distributed.worker - INFO - bokeh at: 127.0.0.1:8789
distributed.worker - INFO - nanny at: 127.0.0.1:36345
distributed.worker - INFO - Waiting to connect to: tcp://localhost:8786
distributed.worker - INFO - -------------------------------------------------
distributed.worker - INFO - Threads: 4
distributed.worker - INFO - Memory: 16.70 GB
distributed.worker - INFO - Local Directory: /home/fergal/orbital/repos/projects/safegraph/dask/dask-worker-space/worker-QjJ1ke
distributed.worker - INFO - -------------------------------------------------
distributed.worker - INFO - Registered to: tcp://localhost:8786
distributed.worker - INFO - -------------------------------------------------
Then my code, borrowed from the video, is
from dask.distributed import Client
import dask.array as da
client = Client(processes=False)
print(client)
x = da.random.random((10000, 10000, 10), chunks=(1000,1000,5))
y = da.random.random((10000, 10000, 10), chunks=(1000,1000,5))
z = (da.arcsin(x) + da.arcsin(y)).sum(axis=(1,2))
z.visualize('eg.svg')
z.compute()
The code runs, and produces a graph via graph-viz. The bokeh server is accessible at 127.0.0.1:8787/status, and displays a big blue block at the top right, as per the first few seconds of the video. But when I run my code, the webpage doesn't update to show a running computation, nor does it show any results when the computation is finished. Iwould expect to see something like what I see around time 1:20 on the video.
I'm undoubtedly neglecting to set something up properly, but I can't find any clues in either the documentation or on Stack Overflow. So what am I doing wrong?

Answer 1

I found a solution.
Update dask to 1.1.5, shutdown the dask-scheduler (and dask-worker). I'm guessing my problem was that the version of dask from the default conda channel was out of date. I downloaded the newer version from conda-forge