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Categorical axes not working #103

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nicolaskruchten opened this issue Nov 23, 2017 · 5 comments · Fixed by #206
Closed

Categorical axes not working #103

nicolaskruchten opened this issue Nov 23, 2017 · 5 comments · Fixed by #206
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@nicolaskruchten
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Trying to render a simple bar or scatter plot with categorical axes results in an empty chart.

@bpostlethwaite bpostlethwaite self-assigned this Nov 23, 2017
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bpostlethwaite commented Nov 23, 2017

Can you try this again with the latest lab develop branch? It seems to be working for me now.

@bpostlethwaite
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Nope there is definitely buggy behaviour. But it happens when switching between axes value types. Investigating further

@nicolaskruchten
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on the latest branch it seems to work better, yes, but I also upgraded to node 8.9.1 in the meantime, even though that "shouldn't" make a difference

@bpostlethwaite
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Yes better but still buggy. It's like at some point the axes stop recomputing their type and get confused.

@bpostlethwaite bpostlethwaite removed their assignment Dec 15, 2017
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bpostlethwaite commented Dec 24, 2017

In Batch application click on "countries" first then click on a numeric field. Things go wrong.

@bpostlethwaite bpostlethwaite self-assigned this Dec 24, 2017
@bpostlethwaite bpostlethwaite added this to the official release milestone Dec 24, 2017
bpostlethwaite added a commit that referenced this issue Jan 6, 2018
This is temporary fix until
plotly/react-plotly.js#2
has been released
bpostlethwaite added a commit that referenced this issue Jan 6, 2018
This is temporary fix until
plotly/react-plotly.js#2
has been released
bpostlethwaite added a commit that referenced this issue Jan 6, 2018
This is temporary fix until
plotly/react-plotly.js#2
has been released
bpostlethwaite added a commit that referenced this issue Jan 6, 2018
This is temporary fix until
plotly/react-plotly.js#2
has been released
bpostlethwaite added a commit that referenced this issue Jan 7, 2018
Fix for axes types not updating with new data types fixes #103
This was referenced Mar 15, 2018
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