Pan produces unexpected behaviour with Scattergl

[lamourj]

When using Scattergl in a figure made with subplots, selecting the Pan tool (or shift+drag mouse) leads to an unexpected behaviour where all plots merge into one and expand in the entire space of the encapsulating figure. See attached GIF:

The issue has been observed on Chrome as well as Safari
I might be doing something wrong, but I doubt it because using the exact same code with Scatter instead of Scattergl doesn't show this unexpected behaviour.

Thanks for your help 😃

[chriddyp]

Thanks for reporting! Which versions of dash-core-components are you on?

import dash_core_components as dcc
print(dcc.__version__)

Could you share a URL of the chart? See https://community.plot.ly/t/mega-sharing-graphs-with-chart-studio/8869 for some instructions

[chriddyp]

Ah sorry, I missed https://community.plot.ly/t/proper-way-to-plot-large-datasets/9793/8

[lamourj]

I am not sure that the two issues are related, but it is indeed the same data. My dataset is too large for my graph to fit in the free Plotly account. I’ll try create another example with a small dataset to be able to share the plot. On 3 May 2018, at 15:37, Chris Parmer <[email protected]<mailto:[email protected]>> wrote: Ah sorry, I missed https://community.plot.ly/t/proper-way-to-plot-large-datasets/9793/8 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub<#253 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/AGkEljxse9l1etyyObNrpIgrHNCbCUBFks5tuwgEgaJpZM4TxCsn>.

[chriddyp]

Thanks @lamourj ! Alternatively, you could try reproducing in codepen. Here's an example that you could start from: https://codepen.io/chriddyp/pen/jxwvQp?editors=1010

[chriddyp]

I'll leave this open until the issue is fixed on the Dash side, but let's continue the discussion in plotly/plotly.js#2609

[lamourj]

I'm closing this for now since it was due to me using a rangeslider with Scattergl (according to plotly/plotly.js#2609 (comment)).

I made a feature request for compatibility between those two on plotly/plotly.js#2627.