Okay, so I am using a generic data set to troubleshoot this problem. Here is the code I am entering into R:
library(plotly)
fig <- plot_ly(
type = 'contour',
z = matrix(c(10, 10.625, 12.5, 15.625, 20, 5.625, 6.25, 8.125,
11.25, 15.625, 2.5, 3.125, 5, 8.125, 12.5, 0.625,
1.25, 3.125, 6.25, 10.625, 0, 0.625, 2.5, 5.625,
10), nrow=5, ncol=5),
colorscale = 'plasma',
autocontour = F,
contours = list(
start = 0,
end = 8,
size = 2
)
)
fig
As you can see, I have the colorscale argument set to plasma, which is a built-in colorscale according to plotly ( https://plotly.com/python/builtin-colorscales/ )
However, when I actually execute the code, the resulting graph is NOT in plasma colorscale, which goes from purple to red to yellow.
But when I set the colorscale = 'Jet', the resulting graph is in jet colorscale.
How do I fix this? I want to be able to quickly change the colorscale to any of the built-in ones, so I can see which one my plot looks best in. I also don't want to have to manually define the color for each level of the plot.
Furthermore, when going to the colorscale page for R, the section on contour plots doesn't specify the colorscale variable at all.
https://plotly.com/r/colorscales/
Maybe I am missing something in the https://plotly.com/r/contour-plots/ page, but I can't find code that integrates defined start and stop points and built-in colorscale besides the one shown above.