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Python equivalent of Wolfram Language ParametricPlot3D?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhat to consider before learning a new language for data analysisData visualization for pattern analysis (language-independent, but R preferred)rectangular markers in bubble plot (Python)How can I draw bar graph in python on aggregated data?Plotting in Multiple Linear Regression in Python 3ggplot (in R)/matplotlib (in Python) with linear model?Python equivalent of Wolfram Language Query for JSON?Python code not displaying graphPlotting multiple files' word dispersion plot in one single plot in PythonHow to make this plot with python
$begingroup$
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 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
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
asked 29 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 29 mins ago
EdmundEdmund
203311
asked 29 mins ago
EdmundEdmund
203311
edited 19 mins ago
Edmund
asked 29 mins ago
EdmundEdmund
203311
asked 29 mins ago
EdmundEdmund
203311
asked 29 mins ago
EdmundEdmund
203311
203311
add a comment |
add a comment |
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