Plotly Subplot Function Issue
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I am trying to plot two plotly images side by side using the tutorial laid out here. However, I keep getting this error:
Warning messages:
1: No source found
2: No config found
3: 'layout' objects don't have these attributes: 'NA'
Valid attributes include:
'font', 'title', 'uniformtext', 'autosize', 'width', 'height', 'margin', 'paper_bgcolor', 'plot_bgcolor', 'separators', 'hidesources', 'showlegend', 'colorway', 'datarevision', 'uirevision', 'editrevision', 'selectionrevision', 'template', 'modebar', 'meta', 'transition', '_deprecated', 'clickmode', 'dragmode', 'hovermode', 'hoverdistance', 'spikedistance', 'hoverlabel', 'selectdirection', 'grid', 'calendar', 'xaxis', 'yaxis', 'ternary', 'scene', 'geo', 'mapbox', 'polar', 'radialaxis', 'angularaxis', 'direction', 'orientation', 'editType', 'legend', 'annotations', 'shapes', 'images', 'updatemenus', 'sliders', 'colorscale', 'coloraxis', 'metasrc', 'barmode', 'bargap', 'mapType'
My plotly objects are defined in the same way as follows:
log10_plot <- plot_ly(data=log10numi_frame,x=log10numi_frame$`Log10 Cell Index`,y=log10numi_frame$`Log10 nUMI`, type="scatter", mode = "lines", name=paste0(sample," nUMI"), line=list(color="#000000")) %>% layout(autosize = F, width = 700, height = 350, xaxis = list(title = "Cells in decreasing order by genic UMI count"), yaxis= list(title = "Log10(Genic UMI count)"))
if(! is.na(kneedle_cumfrac_knee)){
log10_plot <- add_segments(log10_plot,x=kneedle_cumfrac_knee, xend =kneedle_cumfrac_knee, y=min(log10numi_frame$`Log10 nUMI`), yend=max(log10numi_frame$`Log10 nUMI`), name=paste0("Kneedle (Cumulative Fraction) Knee (",round(kneedle_cumfrac_knee,digits=1),")"), text = "Kneedle (Cumulative Fraction) Knee", line=list(color="#E69F00"))
}
if(! is.na(kneedle_log10_knee)){
log10_plot <- add_segments(log10_plot,x=kneedle_log10_knee, xend = kneedle_log10_knee,y=min(log10numi_frame$`Log10 nUMI`), yend=max(log10numi_frame$`Log10 nUMI`), name=paste0("Kneedle (Log10) Knee (",round(kneedle_log10_knee,digits=1),")"), text = "Kneedle (Log10) Knee", line=list(color="#56B4E9"))
}
if(! is.na(second_deriv_min_knee)){
log10_plot <- add_segments(log10_plot, x=second_deriv_min_knee, xend = second_deriv_min_knee, y=min(log10numi_frame$`Log10 nUMI`), yend=max(log10numi_frame$`Log10 nUMI`), name=paste0("Second Derivative Knee (", round(second_deriv_min_knee,digits=1),")"), text = "Second Derivative Knee", line=list(color="#009E73"))
}
#if(! is.na(DropletUtils_knee)){
# log10_plot <- add_segments(log10_plot,x=DropletUtils_knee, xend = DropletUtils_knee,y=min(log10numi_frame$`Log10 nUMI`), yend=max(log10numi_frame$`Log10 nUMI`), name=paste0("DropletUtils Knee (",round(DropletUtils_knee,digits=1), ")"), text = "DropletUtils Knee")
#}
if(! is.na(DropletUtils_inflection)){
log10_plot <- add_segments(log10_plot,x=DropletUtils_inflection, xend = DropletUtils_inflection,y=min(log10numi_frame$`Log10 nUMI`), yend=max(log10numi_frame$`Log10 nUMI`), name=paste0("DropletUtils (Inflection) Knee (",round(DropletUtils_inflection,digits=1),")"), text = "DropletUtils (Inflection) Knee", line=list(color="#F0E442"))
}
if(! is.na(emptydrops_num_cells)){
log10_plot <- add_segments(log10_plot,x=emptydrops_num_cells, xend = emptydrops_num_cells, y=min(log10numi_frame$`Log10 nUMI`), yend=max(log10numi_frame$`Log10 nUMI`), name=paste0("DropletUtils (EmptyDrops) Knee (",round(emptydrops_num_cells,digits=1),")"), text = "DropletUtils (EmptyDrops) Knee", line=list(color="#0072B2"))
}
Currently I am calling this when I get the error:
subplot(log10_plot, cum_frac_plot)
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First steps
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Research direction
Start with the R code in the issue and the subplot(log10_plot, cum_frac_plot) call; inspect how subplot combines these plotly objects, including the add_segments calls. Reproduce the listed warnings and verify that the result renders both plots side by side without invalid layout attributes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100