Overlaying two SmoothDensityHistograms
$begingroup$
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 Jan 16 at 20:14
avikartoavikarto
1418
$endgroup$
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 Jan 16 at 20:14
avikartoavikarto
1418
$endgroup$
2
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
Jan 16 at 20:15
$begingroup$
@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
Jan 16 at 20:17
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 Jan 16 at 20:14
avikartoavikarto
1418
$endgroup$
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 Jan 16 at 20:14
avikartoavikarto
1418
asked Jan 16 at 20:14
avikartoavikarto
1418
asked Jan 16 at 20:14
avikartoavikarto
1418
asked Jan 16 at 20:14
avikartoavikarto
1418
asked Jan 16 at 20:14
avikartoavikarto
1418
1418
2
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
Jan 16 at 20:15
$begingroup$
@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
Jan 16 at 20:17
add a comment |
2
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
Jan 16 at 20:15
$begingroup$
@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
Jan 16 at 20:17
2
2
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
Jan 16 at 20:15
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
Jan 16 at 20:15
$begingroup$
@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
Jan 16 at 20:17
$begingroup$
@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
Jan 16 at 20:17
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 Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
$endgroup$
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Do you not want to have something likeColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?
$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "387"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmathematica.stackexchange.com%2fquestions%2f189626%2foverlaying-two-smoothdensityhistograms%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
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 Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
$endgroup$
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Do you not want to have something likeColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?
$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
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 Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
$endgroup$
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Do you not want to have something likeColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?
$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
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 Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
$endgroup$
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 Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
answered Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
answered Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
answered Jan 16 at 20:21
Carl LangeCarl Lange
3,8151733
3,8151733
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Do you not want to have something likeColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?
$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
add a comment |
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Do you not want to have something likeColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?
$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Perfect, thanks!
$endgroup$
– avikarto
Jan 16 at 20:31
$begingroup$
Do you not want to have something like
ColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
Do you not want to have something like
ColorFunctionScaling -> False? Otherwise, the highest values have the same color even if there's a large difference in the "peakedness" of the two densities?$endgroup$
– JimB
Jan 17 at 4:35
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
$begingroup$
@JimB That's a good point - probably a good idea to add your own answer working around that issue.
$endgroup$
– Carl Lange
Jan 17 at 9:03
add a comment |
Thanks for contributing an answer to Mathematica Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmathematica.stackexchange.com%2fquestions%2f189626%2foverlaying-two-smoothdensityhistograms%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
2
$begingroup$
Could you post example code of your histograms?
$endgroup$
– Carl Lange
Jan 16 at 20:15
$begingroup$
@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
Jan 16 at 20:17