I have created few Plotly charts with facets on basis of category variable and would like to change the color of facet text in the chart. Have searched alot even on plotly website but couldn’t figure out the property that can be used to change the color for facet text.

Any way to get an annotation below/under a scatter plot, so that the scatter-points show on top of the annotation text/link?

I was using colab and trying to use plotly but it doesn’t show anything no error but no plot as well, it just expand the output as it’s showing it but nothing. I though maybe it theme extension but I uninstalled it and nothing.

Using Python plotly, the charted data shows linearly increasing data, but is not correct.
Also, the first data point (i.e. 5585) is rendered as empty bar.
How do I fix these?

I’m plotting lines from variable data, the items can sometimes have identical data points so need a way to figure out which lines are stacked on top of each other.

I’m trying to visualize some data, but I’m having trouble with the bar shapes not appearing correctly. Does anyone have suggestions on how to fix this issue? I would really appreciate any tips or solutions you can share! Thank you in advance for your help!
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I am stuck I have to remove the legend from the plotly volume plot. The only reason for doing this is I am making a poster where I have bunch of similar figures and I will only figure with legend and remove others to save some space. I have wasted more than two hours but could not figure that out. Below is a sample code:

Is there a way to change the vertical/horizontal spacing between subplots in an existing figure?
I couldn’t find anything in the docs or user forum, and the following throws a Bad property error:

I’m looking for a way to have two updatemenu buttons on a plotly figure. One changes the data and the y-axis title and one switches from linear to log scale. Broadly the code below works but I lose something depending on which method I use.

I’m looking for a way to have two updatemenu buttons on a plotly figure. One changes the data and the y-axis title and one switches from linear to log scale. Broadly the code below works but I lose something depending on which method I use.