# Examples for backend: immerse

- Supported arguments: `annotation`, `background_color`, `color`, `color_palette`, `fillrange`, `fillcolor`, `foreground_color`, `group`, `label`, `layout`, `legend`, `linestyle`, `linetype`, `linewidth`, `markershape`, `markercolor`, `markersize`, `n`, `nbins`, `nc`, `nr`, `smooth`, `show`, `size`, `title`, `windowtitle`, `x`, `xlabel`, `xlims`, `xticks`, `y`, `ylabel`, `ylims`, `yticks`, `xscale`, `yscale`, `xflip`, `yflip`, `z`, `tickfont`, `guidefont`, `legendfont`
- Supported values for axis: `:auto`, `:left`
- Supported values for linetype: `:none`, `:line`, `:path`, `:steppre`, `:steppost`, `:sticks`, `:scatter`, `:heatmap`, `:hexbin`, `:hist`, `:bar`, `:hline`, `:vline`, `:ohlc`
- Supported values for linestyle: `:auto`, `:solid`, `:dash`, `:dot`, `:dashdot`, `:dashdotdot`
- Supported values for marker: `:none`, `:auto`, `:cross`, `:diamond`, `:dtriangle`, `:ellipse`, `:heptagon`, `:hexagon`, `:octagon`, `:pentagon`, `:rect`, `:star4`, `:star5`, `:star6`, `:star7`, `:star8`, `:utriangle`, `:xcross`, `:Plots.Shape`
- Is `subplot`/`subplot!` supported? Yes

### Initialize

```julia
using Plots
immerse()
```

### Lines

A simple line plot of the columns.

```julia
plot(fakedata(50,5),w=3)
```

![](../img/immerse/immerse_example_1.png)

### Functions

Plot multiple functions.  You can also put the function first, or use the form `plot(f, xmin, xmax)` where f is a Function or AbstractVector{Function}.

```julia
plot(0:0.01:4π,[sin,cos])
```

![](../img/immerse/immerse_example_2.png)

### 

Or make a parametric plot (i.e. plot: (fx(u), fy(u))) with plot(fx, fy, umin, umax).

```julia
plot(sin,(x->begin  # /home/tom/.julia/v0.4/Plots/docs/example_generation.jl, line 40:
            sin(2x)
        end),0,2π,line=4,leg=false,fill=(0,:orange))
```

![](../img/immerse/immerse_example_3.png)

### Colors

Access predefined palettes (or build your own with the `colorscheme` method).  Line/marker colors are auto-generated from the plot's palette, unless overridden.  Set the `z` argument to turn on series gradients.

```julia
y = rand(100)
plot(0:10:100,rand(11,4),lab="lines",w=3,palette=:grays,fill=(0.5,:auto))
scatter!(y,z=abs(y - 0.5),m=(10,:heat),lab="grad")
```

![](../img/immerse/immerse_example_4.png)

### Global

Change the guides/background/limits/ticks.  Convenience args `xaxis` and `yaxis` allow you to pass a tuple or value which will be mapped to the relevant args automatically.  The `xaxis` below will be replaced with `xlabel` and `xlims` args automatically during the preprocessing step. You can also use shorthand functions: `title!`, `xaxis!`, `yaxis!`, `xlabel!`, `ylabel!`, `xlims!`, `ylims!`, `xticks!`, `yticks!`

```julia
plot(rand(20,3),title="TITLE",xaxis=("XLABEL",(-5,30),0:2:20,:flip),yaxis=("YLABEL",:log10),background_color=RGB(0.2,0.2,0.2),leg=false)
```

![](../img/immerse/immerse_example_5.png)

### Two-axis

Use the `axis` arguments.

Note: Currently only supported with Qwt and PyPlot

```julia
plot(Vector[randn(100),randn(100) * 100]; axis=[:l :r],ylabel="LEFT",yrightlabel="RIGHT")
```

![](../img/immerse/immerse_example_6.png)

### Arguments

Plot multiple series with different numbers of points.  Mix arguments that apply to all series (marker/markersize) with arguments unique to each series (colors).  Special arguments `line`, `marker`, and `fill` will automatically figure out what arguments to set (for example, we are setting the `linestyle`, `linewidth`, and `color` arguments with `line`.)  Note that we pass a matrix of colors, and this applies the colors to each series.

```julia
plot(Vector[rand(10),rand(20)]; marker=(:ellipse,8),line=(:dot,3,[:black :orange]))
```

![](../img/immerse/immerse_example_7.png)

### Build plot in pieces

Start with a base plot...

```julia
plot(rand(100) / 3,reg=true,fill=(0,:green))
```

![](../img/immerse/immerse_example_8.png)

### 

and add to it later.

```julia
scatter!(rand(100),markersize=6,c=:orange)
```

![](../img/immerse/immerse_example_9.png)

### Heatmaps



```julia
heatmap(randn(10000),randn(10000),nbins=100)
```

![](../img/immerse/immerse_example_10.png)

### Line types



```julia
types = intersect(supportedTypes(),[:line,:path,:steppre,:steppost,:sticks,:scatter])'
n = length(types)
x = Vector[sort(rand(20)) for i = 1:n]
y = rand(20,n)
plot(x,y,line=(types,3),lab=map(string,types),ms=15)
```

![](../img/immerse/immerse_example_11.png)

### Line styles



```julia
styles = setdiff(supportedStyles(),[:auto])'
plot(cumsum(randn(20,length(styles)),1); style=:auto,label=map(string,styles),w=5)
```

![](../img/immerse/immerse_example_12.png)

### Marker types



```julia
markers = setdiff(supportedMarkers(),[:none,:auto,Shape])'
n = length(markers)
x = (linspace(0,10,n + 2))[2:end - 1]
y = repmat(reverse(x)',n,1)
scatter(x,y,m=(12,:auto),lab=map(string,markers),bg=:linen)
```

![](../img/immerse/immerse_example_13.png)

### Bar

x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)

```julia
bar(randn(999))
```

![](../img/immerse/immerse_example_14.png)

### Histogram



```julia
histogram(randn(1000),nbins=50)
```

![](../img/immerse/immerse_example_15.png)

### Subplots

  subplot and subplot! are distinct commands which create many plots and add series to them in a circular fashion.
  You can define the layout with keyword params... either set the number of plots `n` (and optionally number of rows `nr` or 
  number of columns `nc`), or you can set the layout directly with `layout`.


```julia
subplot(randn(100,5),layout=[1,1,3],t=[:line :hist :scatter :step :bar],nbins=10,leg=false)
```

![](../img/immerse/immerse_example_16.png)

### Adding to subplots

Note here the automatic grid layout, as well as the order in which new series are added to the plots.

```julia
subplot(fakedata(100,10),n=4,palette=[:grays :blues :heat :lightrainbow],bg=[:orange :pink :darkblue :black])
```

![](../img/immerse/immerse_example_17.png)

### 



```julia
subplot!(fakedata(100,10))
```

![](../img/immerse/immerse_example_18.png)

### Annotations

Currently only text annotations are supported.  Pass in a tuple or vector-of-tuples: (x,y,text).  `annotate!(ann)` is shorthand for `plot!(; annotation=ann)`

```julia
y = rand(10)
plot(y,ann=(3,y[3],text("this is #3",:left)))
annotate!([(5,y[5],text("this is #5",16,:red,:center)),(10,y[10],text("this is #10",:right,20,"courier"))])
```

![](../img/immerse/immerse_example_20.png)