PyPlot
To switch to the PyPlot backend, you can use:
using Plots
pyplot()The demos are generated from Plots._examples. Empty demos are features that this backend does not support.
Lines
Functions, adding data, and animations
Parametric plots
Colors
Global
Images
Arguments
Build plot in pieces
Histogram2D
Line types
Line styles
Marker types
Bar
Histogram
Subplots
Adding to subplots
Open/High/Low/Close
Annotations
Custom Markers
Contours
Pie
3D
DataFrames
Groups and Subplots
Polar Plots
Heatmap, categorical axes, and aspect_ratio
Layouts, margins, label rotation, title location
Boxplot and Violin series recipes
Animation with subplots
Spy
Magic grid argument
Framestyle
Lines and markers with varying colors
Portfolio Composition maps
Ribbons
Histogram2D (complex values)
Unconnected lines using `missing` or `NaN`
Lens
Array Types
Setting defaults and font arguments
Heatmap with DateTime axis
Linked axes
Error bars and array type recipes
Tuples and `Point`s as data
Mesh3d
Vectors of markershapes and segments
Polar heatmaps
3D surface with axis guides
Images with custom axes
3d quiver
Step Types
Guide positions and alignment
3D axis flip / mirror
Bar plot customizations
Vertical and horizonal spans
Stacked area chart
Annotations at discrete locations
3D projection
Bézier curve
Filled area - hatched patterns
Shared axes (twin)
Legend positions
Outer legend positions
