Python equivalent of Wolfram Language ParametricPlot3D?
$begingroup$
The Wolfram Language as a ParametricPlot3D that can be used to interactively examine parametric functions in 3D. Which Python package and function(s) best replicates this?
I have several series of data that I would like to represent as categorical curves in an interactive 3D plot in a Python project.
As a minimal example on a set of 10 series with 20 observations in each, in Wolfram Language I can
SeedRandom[987]
obs = RandomVariate[StudentTDistribution[3, 1, 5], {10, 20}];
foos = PDF@*SmoothKernelDistribution /@ obs;
ParametricPlot3D[
MapIndexed[{First@#2, u, v #1[u]} &]@foos, {u, -5, 10}, {v, 0, 1},
BoxRatios -> {5, 1, 1},
PlotRange -> Full,
ColorFunction -> ColorData["SunsetColors"],
Background -> Lighter@Purple,
AxesStyle -> White,
TicksStyle -> White,
Boxed -> False,
AxesEdge -> {{0, 0}, {1, 0}, {1, 1}},
ViewPoint -> {3, -2, 1.5},
ImageSize -> Large,
Mesh -> None,
PlotLegends -> Automatic,
PlotPoints -> {80, 15},
Ticks -> {{#, IntegerName@#} & /@ Range@10, Automatic, Automatic}]
How is this done with JSON in Python?
visualization matplotlib wolfram-language
asked 13 mins ago
EdmundEdmund
203311
$endgroup$
add a comment |
$begingroup$
The Wolfram Language as a ParametricPlot3D that can be used to interactively examine parametric functions in 3D. Which Python package and function(s) best replicates this?
I have several series of data that I would like to represent as categorical curves in an interactive 3D plot in a Python project.
As a minimal example on a set of 10 series with 20 observations in each, in Wolfram Language I can
SeedRandom[987]
obs = RandomVariate[StudentTDistribution[3, 1, 5], {10, 20}];
foos = PDF@*SmoothKernelDistribution /@ obs;
ParametricPlot3D[
MapIndexed[{First@#2, u, v #1[u]} &]@foos, {u, -5, 10}, {v, 0, 1},
BoxRatios -> {5, 1, 1},
PlotRange -> Full,
ColorFunction -> ColorData["SunsetColors"],
Background -> Lighter@Purple,
AxesStyle -> White,
TicksStyle -> White,
Boxed -> False,
AxesEdge -> {{0, 0}, {1, 0}, {1, 1}},
ViewPoint -> {3, -2, 1.5},
ImageSize -> Large,
Mesh -> None,
PlotLegends -> Automatic,
PlotPoints -> {80, 15},
Ticks -> {{#, IntegerName@#} & /@ Range@10, Automatic, Automatic}]
How is this done with JSON in Python?
visualization matplotlib wolfram-language
asked 13 mins ago
EdmundEdmund
203311
$endgroup$
add a comment |
$begingroup$
The Wolfram Language as a ParametricPlot3D that can be used to interactively examine parametric functions in 3D. Which Python package and function(s) best replicates this?
I have several series of data that I would like to represent as categorical curves in an interactive 3D plot in a Python project.
As a minimal example on a set of 10 series with 20 observations in each, in Wolfram Language I can
SeedRandom[987]
obs = RandomVariate[StudentTDistribution[3, 1, 5], {10, 20}];
foos = PDF@*SmoothKernelDistribution /@ obs;
ParametricPlot3D[
MapIndexed[{First@#2, u, v #1[u]} &]@foos, {u, -5, 10}, {v, 0, 1},
BoxRatios -> {5, 1, 1},
PlotRange -> Full,
ColorFunction -> ColorData["SunsetColors"],
Background -> Lighter@Purple,
AxesStyle -> White,
TicksStyle -> White,
Boxed -> False,
AxesEdge -> {{0, 0}, {1, 0}, {1, 1}},
ViewPoint -> {3, -2, 1.5},
ImageSize -> Large,
Mesh -> None,
PlotLegends -> Automatic,
PlotPoints -> {80, 15},
Ticks -> {{#, IntegerName@#} & /@ Range@10, Automatic, Automatic}]
How is this done with JSON in Python?
visualization matplotlib wolfram-language
asked 13 mins ago
EdmundEdmund
203311
$endgroup$
The Wolfram Language as a ParametricPlot3D that can be used to interactively examine parametric functions in 3D. Which Python package and function(s) best replicates this?
I have several series of data that I would like to represent as categorical curves in an interactive 3D plot in a Python project.
As a minimal example on a set of 10 series with 20 observations in each, in Wolfram Language I can
SeedRandom[987]
obs = RandomVariate[StudentTDistribution[3, 1, 5], {10, 20}];
foos = PDF@*SmoothKernelDistribution /@ obs;
ParametricPlot3D[
MapIndexed[{First@#2, u, v #1[u]} &]@foos, {u, -5, 10}, {v, 0, 1},
BoxRatios -> {5, 1, 1},
PlotRange -> Full,
ColorFunction -> ColorData["SunsetColors"],
Background -> Lighter@Purple,
AxesStyle -> White,
TicksStyle -> White,
Boxed -> False,
AxesEdge -> {{0, 0}, {1, 0}, {1, 1}},
ViewPoint -> {3, -2, 1.5},
ImageSize -> Large,
Mesh -> None,
PlotLegends -> Automatic,
PlotPoints -> {80, 15},
Ticks -> {{#, IntegerName@#} & /@ Range@10, Automatic, Automatic}]
How is this done with JSON in Python?
visualization matplotlib wolfram-language
visualization matplotlib wolfram-language
asked 13 mins ago
EdmundEdmund
203311
asked 13 mins ago
EdmundEdmund
203311
edited 3 mins ago
Edmund
asked 13 mins ago
EdmundEdmund
203311
asked 13 mins ago
EdmundEdmund
203311
asked 13 mins ago
EdmundEdmund
203311
203311
add a comment |
add a comment |
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