forcing scale on plotly heatmap
So I am creating 1111 different plotly HEATMAPS from the same sort of data, however each of these plots has a slightly different colorscale range. This means that a "red" on one plot may not be the same "red" on another plot.
For the sake of reproducibility lets use the volcano dataset as an example.
I have found a way to force the scale on a plotly SURFACE plot using the following code:
p <- plot_ly(z = kdetest$z, type = "surface", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
cauto = F, cmin = 0, cmax = 250)
This forces the colorscale between values 0 and 250 for a surface plot. I would expect that there should be a similar way to do this for heatmaps as they are just flat surface plots, however the heatmap type doesn't have variables cauto, cmin or cmax.
Does anyone know of a way to do this for heatmaps?
r plotly heatmap
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
add a comment |
So I am creating 1111 different plotly HEATMAPS from the same sort of data, however each of these plots has a slightly different colorscale range. This means that a "red" on one plot may not be the same "red" on another plot.
For the sake of reproducibility lets use the volcano dataset as an example.
I have found a way to force the scale on a plotly SURFACE plot using the following code:
p <- plot_ly(z = kdetest$z, type = "surface", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
cauto = F, cmin = 0, cmax = 250)
This forces the colorscale between values 0 and 250 for a surface plot. I would expect that there should be a similar way to do this for heatmaps as they are just flat surface plots, however the heatmap type doesn't have variables cauto, cmin or cmax.
Does anyone know of a way to do this for heatmaps?
r plotly heatmap
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
add a comment |
So I am creating 1111 different plotly HEATMAPS from the same sort of data, however each of these plots has a slightly different colorscale range. This means that a "red" on one plot may not be the same "red" on another plot.
For the sake of reproducibility lets use the volcano dataset as an example.
I have found a way to force the scale on a plotly SURFACE plot using the following code:
p <- plot_ly(z = kdetest$z, type = "surface", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
cauto = F, cmin = 0, cmax = 250)
This forces the colorscale between values 0 and 250 for a surface plot. I would expect that there should be a similar way to do this for heatmaps as they are just flat surface plots, however the heatmap type doesn't have variables cauto, cmin or cmax.
Does anyone know of a way to do this for heatmaps?
r plotly heatmap
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
So I am creating 1111 different plotly HEATMAPS from the same sort of data, however each of these plots has a slightly different colorscale range. This means that a "red" on one plot may not be the same "red" on another plot.
For the sake of reproducibility lets use the volcano dataset as an example.
I have found a way to force the scale on a plotly SURFACE plot using the following code:
p <- plot_ly(z = kdetest$z, type = "surface", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
cauto = F, cmin = 0, cmax = 250)
This forces the colorscale between values 0 and 250 for a surface plot. I would expect that there should be a similar way to do this for heatmaps as they are just flat surface plots, however the heatmap type doesn't have variables cauto, cmin or cmax.
Does anyone know of a way to do this for heatmaps?
r plotly heatmap
r plotly heatmap
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
asked Nov 15 '18 at 0:41
SeayOLearySeayOLeary
35
35
add a comment |
add a comment |
1 Answer
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The equivalent variables on heatmaps are zauto, zmin, zmax. So the following code should work:
p <- plot_ly(z = volcano, type = "heatmap", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
zauto = F, cmin = 0, cmax = 250)
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
add a comment |
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1 Answer
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1 Answer
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active
oldest
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The equivalent variables on heatmaps are zauto, zmin, zmax. So the following code should work:
p <- plot_ly(z = volcano, type = "heatmap", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
zauto = F, cmin = 0, cmax = 250)
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
add a comment |
The equivalent variables on heatmaps are zauto, zmin, zmax. So the following code should work:
p <- plot_ly(z = volcano, type = "heatmap", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
zauto = F, cmin = 0, cmax = 250)
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
add a comment |
The equivalent variables on heatmaps are zauto, zmin, zmax. So the following code should work:
p <- plot_ly(z = volcano, type = "heatmap", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
zauto = F, cmin = 0, cmax = 250)
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
The equivalent variables on heatmaps are zauto, zmin, zmax. So the following code should work:
p <- plot_ly(z = volcano, type = "heatmap", colors = c("blue4", "blue", "green",
"yellow", "orange", "red", "red", "red", "red", "red"),
zauto = F, cmin = 0, cmax = 250)
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
answered Nov 18 '18 at 2:52
SeayOLearySeayOLeary
35
35
add a comment |
add a comment |
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