Update offline iplot in ipython notebook

📊 Plotly Python
1

I want to refresh an offline interactive plot created in ipython notebook in a for loop, e.g.

import plotly.offline as pyo
from plotly import tools
import time

pyo.init_notebook_mode(connected=True)

trace = go.Scatter(
    x=[1, 2, 3],
    y=[4, 5, 6]
)

fig = tools.make_subplots(rows=1, cols=1)
fig['data'].append(trace)
pyo.iplot(fig)

for i in range(10):
    time.sleep(1)
    trace = go.Scatter(
        x=[i, i+1, i+2],
        y=[4, 5, 6]
    )
    fig['data'].update(trace)
    pyo.iplot(fig)

This, however, spits out a new interactive plot for each iteration of the for loop. I’d just like to update the first plot I create without spitting out 10 extra plots. How can I do this?

1 Like
2

Hi there,
Setting a filename will allow you to update a single plot. See this tutorial for more info: https://plot.ly/python/file-options/

3

Just adding the filename keyword argument to iplot still generates the extra plots. plotly.offline.iplot does not have the fileopt keyword argument that plotly.plotly.plot does, so I wasn’t sure how to get this to work with the offline iplot.

4

It would be really useful to be able to this! Did you figure it out eventually? Or is there no way to make this work offline?

5

i have the same problem and it seems there is no way out. but isn’t this is something very basic and should be available

6

this probably is a solution for online version only… not offline one

7

Would love to see this feature in offline mode. Using Dash to make this happen meanwhile

8

Yeah would be really nice! Or is there a workaround for this?

9

Hi @Varlor,

This is now possible in the Jupyter Notebook using the FigureWidget class introduced in plotly.py version 3. See https://github.com/plotly/plotly.py#installation for installation instructions. And see the Add Custom Interactivity with Jupyter Widgets documentation page for some example usage.

Hope that helps,
-Jon

10

Perfect, thank you very much!!!

1 Like