plotly.offline.iplot gives a large blank field as its output in Jupyter Notebook/Lab

Question

I am trying to create a Sankey chart in a Jupyter notebook, basing my code on the first example shown here.

I ended up with this, which I can run without getting any errors:

import numpy as npy import pandas as pd import plotly as ply  ply.offline.init_notebook_mode(connected=True)  df = pd.read_csv('C:\\Users\\a245401\\Desktop\\Test.csv',sep=';')  print(df.head()) print(ply.__version__)  data_trace = dict(     type='sankey',     domain = dict(       x =  [0,1],       y =  [0,1]     ),     orientation = "h",     valueformat = ".0f",     node = dict(       pad = 10,       thickness = 30,       line = dict(         color = "black",         width = 0.5       ),       label =  df['Node, Label'].dropna(axis=0, how='any'),       color = df['Color']     ),     link = dict(       source = df['Source'].dropna(axis=0, how='any'),       target = df['Target'].dropna(axis=0, how='any'),       value = df['Value'].dropna(axis=0, how='any'),   ) ) print(data_trace)  layout =  dict(     title = "Test",     height = 772,     width = 950,     font = dict(       size = 10     ),     ) print(layout)  fig = dict(data=[data_trace], layout=layout) ply.offline.iplot(fig, filename='Test') 

With the csv-file looking like this:

Source;Target;Value;Color;Node, Label 0;2;2958.5;#262C46;Test 1 0;2;236.7;#262C46;Test 2 0;2;1033.4;#262C46;Test 3 0;2;58.8;#262C46;Test 4 0;2;5.2;#262C46;Test 5 0;2;9.4;#262C46;Test 6 0;2;3.4;#262C46;Test 7 

It seems to run fine, with the various outputs looking right at a first glance, but the final output from ply.offline.iplot(fig, filename='Test') just shows a large blank field: The terminal looks like this after having run all the cells in the notebook once:

Can someone please point me to where I am going wrong here?

• edit: I also posted this question on the plotly forums: https://community.plot.ly/t/no-output-from-plotly-offline-iplot/8086 -

Answer 1

I have had similar issues with plotly offline in Jupyter in the past - sometimes it's surprisingly inconsistent when/why the plots fail to appear. It may be worth a try starting with an increased data rate limit.

jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10

Answer 2

I tried all the solutions suggested here, but none of them worked for me. What solved the issue was adding:

import plotly.io as pio pio.renderers.default='notebook' 

and also using fig.show("notebook") rather than simply fig.show(), as suggested here.