PythonPlot

To switch to the PythonPlot backend, you can use:

using Plots
pythonplot()

The demos are generated from Plots._examples. Empty demos are features that this backend does not support.

Supported attributes

Lines

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Functions, adding data, and animations

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Parametric plots

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Colors

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Global

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Images

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Arguments

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Build plot in pieces

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Histogram2D

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Line types

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Line styles

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Marker types

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Bar

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Histogram

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Subplots

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Adding to subplots

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Open/High/Low/Close

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Annotations

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Custom Markers

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Contours

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Pie

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3D

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DataFrames

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Groups and Subplots

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Polar Plots

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Heatmap, categorical axes, and aspect_ratio

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Layouts, margins, label rotation, title location

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Boxplot and Violin series recipes

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Animation with subplots

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Spy

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Magic grid argument

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Framestyle

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Lines and markers with varying colors

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Portfolio Composition maps

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Ribbons

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Histogram2D (complex values)

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Unconnected lines using `missing` or `NaN`

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Lens

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Array Types

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Setting defaults and font arguments

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Heatmap with DateTime axis

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Linked axes

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Error bars and array type recipes

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Tuples and `Point`s as data

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Mesh3d

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Vectors of markershapes and segments

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Polar heatmaps

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3D surface with axis guides

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Images with custom axes

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3d quiver

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Step Types

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Guide positions and alignment

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3D axis flip / mirror

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Bar plot customizations

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Vertical and horizontal spans

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Stacked area chart

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Annotations at discrete locations

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3D projection

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Bézier curve

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Filled area - hatched patterns

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Shared axes (twin)

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Legend positions

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Outer legend positions

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Specifying edges and missing values for barplots

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