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Python equivalent of Wolfram Language ParametricPlot3D?

0

$begingroup$

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

share|improve this question

edited 19 mins ago

Edmund

asked 29 mins ago

EdmundEdmund

203311

$endgroup$

add a comment | 

0

$begingroup$

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

share|improve this question

edited 19 mins ago

Edmund

asked 29 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

share|improve this question

edited 19 mins ago

Edmund

asked 29 mins ago

EdmundEdmund

203311

$endgroup$

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]

share|improve this question

edited 19 mins ago

Edmund

asked 29 mins ago

EdmundEdmund

203311

share|improve this question

edited 19 mins ago

Edmund

asked 29 mins ago

EdmundEdmund

203311

asked 29 mins ago

EdmundEdmund

203311

asked 29 mins ago

EdmundEdmund

203311