Overlaying two SmoothDensityHistograms
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I want to overlay two objects of SmoothDensityHistogram using Show, in order to highlight a region of the shared plot space. However, the top object completely obscures the bottom one. I tried to set an opacity for the objects, but SmoothDenstiyHistogram does not accept PlotStyle as an argument to pass either Opacity[...] or Directive[Opacity[...]]. Is there a way to make this work?
plotting
asked 5 hours ago
avikartoavikarto
1247
$endgroup$
add a comment |
$begingroup$
I want to overlay two objects of SmoothDensityHistogram using Show, in order to highlight a region of the shared plot space. However, the top object completely obscures the bottom one. I tried to set an opacity for the objects, but SmoothDenstiyHistogram does not accept PlotStyle as an argument to pass either Opacity[...] or Directive[Opacity[...]]. Is there a way to make this work?
plotting
asked 5 hours ago
avikartoavikarto
1247
$endgroup$
1
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
5 hours ago
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@CarlLange My histograms are generated from large data files, but any two sets of random data passed into a SmoothDensityHistogram and overlaid will show the issue.
$endgroup$
– avikarto
5 hours ago
add a comment |
$begingroup$
I want to overlay two objects of SmoothDensityHistogram using Show, in order to highlight a region of the shared plot space. However, the top object completely obscures the bottom one. I tried to set an opacity for the objects, but SmoothDenstiyHistogram does not accept PlotStyle as an argument to pass either Opacity[...] or Directive[Opacity[...]]. Is there a way to make this work?
plotting
asked 5 hours ago
avikartoavikarto
1247
$endgroup$
I want to overlay two objects of SmoothDensityHistogram using Show, in order to highlight a region of the shared plot space. However, the top object completely obscures the bottom one. I tried to set an opacity for the objects, but SmoothDenstiyHistogram does not accept PlotStyle as an argument to pass either Opacity[...] or Directive[Opacity[...]]. Is there a way to make this work?
plotting
plotting
asked 5 hours ago
avikartoavikarto
1247
asked 5 hours ago
avikartoavikarto
1247
asked 5 hours ago
avikartoavikarto
1247
asked 5 hours ago
avikartoavikarto
1247
asked 5 hours ago
avikartoavikarto
1247
1247
1
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
5 hours ago
$begingroup$
@CarlLange My histograms are generated from large data files, but any two sets of random data passed into a SmoothDensityHistogram and overlaid will show the issue.
$endgroup$
– avikarto
5 hours ago
add a comment |
1
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
5 hours ago
$begingroup$
@CarlLange My histograms are generated from large data files, but any two sets of random data passed into a SmoothDensityHistogram and overlaid will show the issue.
$endgroup$
– avikarto
5 hours ago
1
1
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
5 hours ago
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
5 hours ago
$begingroup$
@CarlLange My histograms are generated from large data files, but any two sets of random data passed into a SmoothDensityHistogram and overlaid will show the issue.
$endgroup$
– avikarto
5 hours ago
$begingroup$
@CarlLange My histograms are generated from large data files, but any two sets of random data passed into a SmoothDensityHistogram and overlaid will show the issue.
$endgroup$
– avikarto
5 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
You can do this by setting the ColorFunction to use Opacity.
Let's define our ColorFunction, which basically just returns a color for a given plot value:
cf[z_] := Opacity[z, RGBColor[z, 1 - z, 1]]
(You can also wrap any of the ColorData functions with that Opacity and it should work)
Now we can use that to show two plots together:
s1 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.2], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
s2 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.5], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
Overlay[{s1, s2}]
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
$endgroup$
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
add a comment |
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1 Answer
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$begingroup$
You can do this by setting the ColorFunction to use Opacity.
Let's define our ColorFunction, which basically just returns a color for a given plot value:
cf[z_] := Opacity[z, RGBColor[z, 1 - z, 1]]
(You can also wrap any of the ColorData functions with that Opacity and it should work)
Now we can use that to show two plots together:
s1 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.2], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
s2 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.5], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
Overlay[{s1, s2}]
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
$endgroup$
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
add a comment |
$begingroup$
You can do this by setting the ColorFunction to use Opacity.
Let's define our ColorFunction, which basically just returns a color for a given plot value:
cf[z_] := Opacity[z, RGBColor[z, 1 - z, 1]]
(You can also wrap any of the ColorData functions with that Opacity and it should work)
Now we can use that to show two plots together:
s1 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.2], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
s2 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.5], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
Overlay[{s1, s2}]
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
$endgroup$
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
add a comment |
$begingroup$
You can do this by setting the ColorFunction to use Opacity.
Let's define our ColorFunction, which basically just returns a color for a given plot value:
cf[z_] := Opacity[z, RGBColor[z, 1 - z, 1]]
(You can also wrap any of the ColorData functions with that Opacity and it should work)
Now we can use that to show two plots together:
s1 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.2], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
s2 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.5], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
Overlay[{s1, s2}]
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
$endgroup$
You can do this by setting the ColorFunction to use Opacity.
Let's define our ColorFunction, which basically just returns a color for a given plot value:
cf[z_] := Opacity[z, RGBColor[z, 1 - z, 1]]
(You can also wrap any of the ColorData functions with that Opacity and it should work)
Now we can use that to show two plots together:
s1 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.2], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
s2 = SmoothDensityHistogram[
RandomVariate[BinormalDistribution[.5], 10], PlotRange -> {-3, 3},
Frame -> None, ColorFunction -> cf]
Overlay[{s1, s2}]
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
answered 5 hours ago
Carl LangeCarl Lange
2,6261727
2,6261727
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
add a comment |
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
5 hours ago
add a comment |
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1
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
5 hours ago
$begingroup$
@CarlLange My histograms are generated from large data files, but any two sets of random data passed into a SmoothDensityHistogram and overlaid will show the issue.
$endgroup$
– avikarto
5 hours ago