484 lines
16 KiB
Julia
484 lines
16 KiB
Julia
|
|
type CurrentPlot
|
|
nullableplot::Nullable{AbstractPlot}
|
|
end
|
|
const CURRENT_PLOT = CurrentPlot(Nullable{AbstractPlot}())
|
|
|
|
isplotnull() = isnull(CURRENT_PLOT.nullableplot)
|
|
|
|
function current()
|
|
if isplotnull()
|
|
error("No current plot/subplot")
|
|
end
|
|
get(CURRENT_PLOT.nullableplot)
|
|
end
|
|
current(plot::AbstractPlot) = (CURRENT_PLOT.nullableplot = Nullable(plot))
|
|
|
|
# ---------------------------------------------------------
|
|
|
|
|
|
Base.string(plt::Plot) = "Plot{$(plt.backend) n=$(plt.n)}"
|
|
Base.print(io::IO, plt::Plot) = print(io, string(plt))
|
|
Base.show(io::IO, plt::Plot) = print(io, string(plt))
|
|
|
|
getplot(plt::Plot) = plt
|
|
getattr(plt::Plot, idx::Int = 1) = plt.attr
|
|
convertSeriesIndex(plt::Plot, n::Int) = n
|
|
|
|
# ---------------------------------------------------------
|
|
|
|
|
|
"""
|
|
The main plot command. Use `plot` to create a new plot object, and `plot!` to add to an existing one:
|
|
|
|
```
|
|
plot(args...; kw...) # creates a new plot window, and sets it to be the current
|
|
plot!(args...; kw...) # adds to the `current`
|
|
plot!(plotobj, args...; kw...) # adds to the plot `plotobj`
|
|
```
|
|
|
|
There are lots of ways to pass in data, and lots of keyword arguments... just try it and it will likely work as expected.
|
|
When you pass in matrices, it splits by columns. See the documentation for more info.
|
|
"""
|
|
|
|
# this creates a new plot with args/kw and sets it to be the current plot
|
|
function plot(args...; kw...)
|
|
d = KW(kw)
|
|
preprocessArgs!(d)
|
|
|
|
# create an empty Plot then process
|
|
plt = Plot()
|
|
# plt.user_attr = d
|
|
_plot!(plt, d, args...)
|
|
end
|
|
|
|
# build a new plot from existing plots
|
|
# note: we split into plt1 and plts_tail so we can dispatch correctly
|
|
function plot(plt1::Plot, plts_tail::Plot...; kw...)
|
|
d = KW(kw)
|
|
preprocessArgs!(d)
|
|
|
|
# build our plot vector from the args
|
|
n = length(plts_tail) + 1
|
|
plts = Array(Plot, n)
|
|
plts[1] = plt1
|
|
for (i,plt) in enumerate(plts_tail)
|
|
plts[i+1] = plt
|
|
end
|
|
|
|
# compute the layout
|
|
layout = layout_args(d, n)[1]
|
|
num_sp = sum([length(p.subplots) for p in plts])
|
|
|
|
# create a new plot object, with subplot list/map made of existing subplots.
|
|
# note: we create a new backend figure for this new plot object
|
|
# note: all subplots and series "belong" to this new plot...
|
|
plt = Plot()
|
|
|
|
# TODO: build the user_attr dict by creating "Any matrices" for the args of each subplot
|
|
|
|
# TODO: replace this with proper processing from a merged user_attr KW
|
|
# update plot args, first with existing plots, then override with d
|
|
for p in plts
|
|
_update_plot_args(plt, p.attr)
|
|
plt.n += p.n
|
|
end
|
|
_update_plot_args(plt, d)
|
|
|
|
# pass new plot to the backend
|
|
plt.o = _create_backend_figure(plt)
|
|
plt.init = true
|
|
|
|
# create the layout and initialize the subplots
|
|
plt.layout, plt.subplots, plt.spmap = build_layout(layout, num_sp, copy(plts))
|
|
for (idx, sp) in enumerate(plt.subplots)
|
|
_initialize_subplot(plt, sp)
|
|
serieslist = series_list(sp)
|
|
sp.plt = plt
|
|
sp.attr[:subplot_index] = idx
|
|
for series in serieslist
|
|
push!(plt.series_list, series)
|
|
_series_added(plt, series)
|
|
end
|
|
end
|
|
|
|
# finish up
|
|
current(plt)
|
|
if get(d, :show, default(:show))
|
|
gui()
|
|
end
|
|
plt
|
|
end
|
|
|
|
|
|
|
|
# this adds to the current plot, or creates a new plot if none are current
|
|
function plot!(args...; kw...)
|
|
local plt
|
|
try
|
|
plt = current()
|
|
catch
|
|
return plot(args...; kw...)
|
|
end
|
|
plot!(current(), args...; kw...)
|
|
end
|
|
|
|
# this adds to a specific plot... most plot commands will flow through here
|
|
function plot!(plt::Plot, args...; kw...)
|
|
d = KW(kw)
|
|
preprocessArgs!(d)
|
|
# merge!(plt.user_attr, d)
|
|
_plot!(plt, d, args...)
|
|
end
|
|
|
|
function strip_first_letter(s::Symbol)
|
|
str = string(s)
|
|
str[1:1], Symbol(str[2:end])
|
|
end
|
|
|
|
|
|
# this method recursively applies series recipes when the seriestype is not supported
|
|
# natively by the backend
|
|
function _apply_series_recipe(plt::Plot, d::KW)
|
|
st = d[:seriestype]
|
|
# @show st
|
|
if st in supportedTypes()
|
|
|
|
# getting ready to add the series... last update to subplot from anything
|
|
# that might have been added during series recipes
|
|
sp = d[:subplot]
|
|
sp_idx = get_subplot_index(plt, sp)
|
|
_update_subplot_args(plt, sp, d, sp_idx)
|
|
|
|
# change to a 3d projection for this subplot?
|
|
if is3d(st)
|
|
sp.attr[:projection] = "3d"
|
|
end
|
|
|
|
# initialize now that we know the first series type
|
|
if !haskey(sp.attr, :init)
|
|
_initialize_subplot(plt, sp)
|
|
sp.attr[:init] = true
|
|
end
|
|
|
|
# adjust extrema and discrete info
|
|
if !(st in (:pie, :image, :histogram, :histogram2d))
|
|
expand_extrema!(sp, d)
|
|
end
|
|
|
|
|
|
# add the series!
|
|
warnOnUnsupportedArgs(plt.backend, d)
|
|
warnOnUnsupported(plt.backend, d)
|
|
series = Series(d)
|
|
push!(plt.series_list, series)
|
|
# @show series
|
|
|
|
_series_added(plt, series)
|
|
|
|
else
|
|
# get a sub list of series for this seriestype
|
|
datalist = try
|
|
RecipesBase.apply_recipe(d, Val{st}, d[:x], d[:y], d[:z])
|
|
catch
|
|
warn("Exception during apply_recipe(Val{$st}, ...) with types ($(typeof(d[:x])), $(typeof(d[:y])), $(typeof(d[:z])))")
|
|
rethrow()
|
|
end
|
|
|
|
# assuming there was no error, recursively apply the series recipes
|
|
for data in datalist
|
|
if isa(data, RecipeData)
|
|
_apply_series_recipe(plt, data.d)
|
|
else
|
|
warn("Unhandled recipe: $(data)")
|
|
break
|
|
end
|
|
end
|
|
end
|
|
end
|
|
|
|
|
|
# this is the core plotting function. recursively apply recipes to build
|
|
# a list of series KW dicts.
|
|
# note: at entry, we only have those preprocessed args which were passed in... no default values yet
|
|
function _plot!(plt::Plot, d::KW, args...)
|
|
# d = plt.user_attr
|
|
d[:plot_object] = plt
|
|
|
|
# the grouping mechanism is a recipe on a GroupBy object
|
|
# we simply add the GroupBy object to the front of the args list to allow
|
|
# the recipe to be applied
|
|
if haskey(d, :group)
|
|
args = (extractGroupArgs(d[:group], args...), args...)
|
|
end
|
|
|
|
|
|
# for plotting recipes, swap out the args and update the parameter dictionary
|
|
# we are keeping a queue of series that still need to be processed.
|
|
# each pass through the loop, we pop one off and apply the recipe.
|
|
# the recipe will return a list a Series objects... the ones that are
|
|
# finished (no more args) get added to the kw_list, and the rest go into the queue
|
|
# for processing.
|
|
kw_list = KW[]
|
|
still_to_process = isempty(args) ? [] : [RecipeData(copy(d), args)]
|
|
while !isempty(still_to_process)
|
|
|
|
# grab the first in line to be processed and pass it through apply_recipe
|
|
# to generate a list of RecipeData objects (data + attributes)
|
|
next_series = shift!(still_to_process)
|
|
for recipedata in RecipesBase.apply_recipe(next_series.d, next_series.args...)
|
|
|
|
# recipedata should be of type RecipeData. if it's not then the inputs must not have been fully processed by recipes
|
|
if !(typeof(recipedata) <: RecipeData)
|
|
error("Inputs couldn't be processed... expected RecipeData but got: $recipedata")
|
|
end
|
|
|
|
if isempty(recipedata.args)
|
|
# when the arg tuple is empty, that means there's nothing left to recursively
|
|
# process... finish up and add to the kw_list
|
|
kw = recipedata.d
|
|
_add_markershape(kw)
|
|
|
|
# if there was a grouping, filter the data here
|
|
_filter_input_data!(kw)
|
|
|
|
# map marker_z if it's a Function
|
|
if isa(get(kw, :marker_z, nothing), Function)
|
|
# TODO: should this take y and/or z as arguments?
|
|
kw[:marker_z] = map(kw[:marker_z], kw[:x])
|
|
end
|
|
|
|
# convert a ribbon into a fillrange
|
|
if get(kw, :ribbon, nothing) != nothing
|
|
rib = kw[:ribbon]
|
|
kw[:fillrange] = (kw[:y] - rib, kw[:y] + rib)
|
|
end
|
|
|
|
# add the plot index
|
|
plt.n += 1
|
|
kw[:series_plotindex] = plt.n
|
|
|
|
# check that the backend will support the command and add it to the list
|
|
warnOnUnsupportedScales(plt.backend, kw)
|
|
push!(kw_list, kw)
|
|
|
|
# handle error bars by creating new recipedata data... these will have
|
|
# the same recipedata index as the recipedata they are copied from
|
|
for esym in (:xerror, :yerror)
|
|
if get(d, esym, nothing) != nothing
|
|
# we make a copy of the KW and apply an errorbar recipe
|
|
errkw = copy(kw)
|
|
errkw[:seriestype] = esym
|
|
push!(kw_list, errkw)
|
|
end
|
|
end
|
|
|
|
else
|
|
# args are non-empty, so there's still processing to do... add it back to the queue
|
|
push!(still_to_process, recipedata)
|
|
end
|
|
end
|
|
end
|
|
|
|
# merge in anything meant for plot/subplot
|
|
for kw in kw_list
|
|
for (k,v) in kw
|
|
if haskey(_plot_defaults, k) || haskey(_subplot_defaults, k)
|
|
d[k] = v
|
|
end
|
|
end
|
|
end
|
|
|
|
# TODO: init subplots here
|
|
_update_plot_args(plt, d)
|
|
if !plt.init
|
|
plt.o = _create_backend_figure(plt)
|
|
|
|
# create the layout and subplots from the inputs
|
|
plt.layout, plt.subplots, plt.spmap = build_layout(plt.attr)
|
|
for (idx,sp) in enumerate(plt.subplots)
|
|
sp.plt = plt
|
|
sp.attr[:subplot_index] = idx
|
|
end
|
|
|
|
plt.init = true
|
|
end
|
|
|
|
# just in case the backend needs to set up the plot (make it current or something)
|
|
_prepare_plot_object(plt)
|
|
|
|
# first apply any args for the subplots
|
|
for (idx,sp) in enumerate(plt.subplots)
|
|
_update_subplot_args(plt, sp, d, idx)
|
|
end
|
|
|
|
# do we need to link any axes together?
|
|
link_axes!(plt.layout, plt.attr[:link])
|
|
|
|
# !!! note: At this point, kw_list is fully decomposed into individual series... one KW per series. !!!
|
|
# !!! The next step is to recursively apply series recipes until the backend supports that series type !!!
|
|
|
|
# this is it folks!
|
|
# TODO: we probably shouldn't use i for tracking series index, but rather explicitly track it in recipes
|
|
for (i,kw) in enumerate(kw_list)
|
|
# if !(get(kw, :seriestype, :none) in (:xerror, :yerror))
|
|
# plt.n += 1
|
|
# end
|
|
|
|
# get the Subplot object to which the series belongs
|
|
sp = get(kw, :subplot, :auto)
|
|
sp = if sp == :auto
|
|
mod1(i,length(plt.subplots))
|
|
else
|
|
slice_arg(sp, i)
|
|
end
|
|
sp = kw[:subplot] = get_subplot(plt, sp)
|
|
idx = get_subplot_index(plt, sp)
|
|
|
|
# strip out series annotations (those which are based on series x/y coords)
|
|
# and add them to the subplot attr
|
|
sp_anns = annotations(sp.attr[:annotations])
|
|
anns = annotations(pop!(kw, :series_annotations, []))
|
|
if length(anns) > 0
|
|
x, y = kw[:x], kw[:y]
|
|
nx, ny, na = map(length, (x,y,anns))
|
|
n = max(nx, ny, na)
|
|
anns = [(x[mod1(i,nx)], y[mod1(i,ny)], text(anns[mod1(i,na)])) for i=1:n]
|
|
end
|
|
sp.attr[:annotations] = vcat(sp_anns, anns)
|
|
|
|
# we update subplot args in case something like the color palatte is part of the recipe
|
|
_update_subplot_args(plt, sp, kw, idx)
|
|
|
|
# set default values, select from attribute cycles, and generally set the final attributes
|
|
_add_defaults!(kw, plt, sp, i)
|
|
|
|
# now we have a fully specified series, with colors chosen. we must recursively handle
|
|
# series recipes, which dispatch on seriestype. If a backend does not natively support a seriestype,
|
|
# we check for a recipe that will convert that series type into one made up of lower-level components.
|
|
# For example, a histogram is just a bar plot with binned data, a bar plot is really a filled step plot,
|
|
# and a step plot is really just a path. So any backend that supports drawing a path will implicitly
|
|
# be able to support step, bar, and histogram plots (and any recipes that use those components).
|
|
_apply_series_recipe(plt, kw)
|
|
end
|
|
|
|
# # everything is processed, time to compute the layout bounding boxes
|
|
# _before_layout_calcs(plt)
|
|
# w, h = plt.attr[:size]
|
|
# plt.layout.bbox = BoundingBox(0mm, 0mm, w*px, h*px)
|
|
# update_child_bboxes!(plt.layout)
|
|
#
|
|
# # TODO just need to pass plt... and we should do all non-series updates here
|
|
# _update_plot_object(plt)
|
|
|
|
current(plt)
|
|
|
|
# note: lets ignore the show param and effectively use the semicolon at the end of the REPL statement
|
|
# # do we want to show it?
|
|
# if haskey(d, :show) && d[:show]
|
|
if get(d, :show, default(:show))
|
|
gui()
|
|
end
|
|
|
|
plt
|
|
end
|
|
|
|
|
|
function _replace_linewidth(d::KW)
|
|
# get a good default linewidth... 0 for surface and heatmaps
|
|
if get(d, :linewidth, :auto) == :auto
|
|
d[:linewidth] = (get(d, :seriestype, :path) in (:surface,:heatmap,:image) ? 0 : 1)
|
|
end
|
|
end
|
|
|
|
# we're getting ready to display/output. prep for layout calcs, then update
|
|
# the plot object after
|
|
function prepare_output(plt::Plot)
|
|
_before_layout_calcs(plt)
|
|
|
|
w, h = plt.attr[:size]
|
|
plt.layout.bbox = BoundingBox(0mm, 0mm, w*px, h*px)
|
|
update_child_bboxes!(plt.layout)
|
|
|
|
_update_plot_object(plt)
|
|
end
|
|
|
|
function prepared_object(plt::Plot)
|
|
prepare_output(plt)
|
|
plt.o
|
|
end
|
|
|
|
# --------------------------------------------------------------------
|
|
|
|
# function get_indices(orig, labels)
|
|
# Int[findnext(labels, l, 1) for l in orig]
|
|
# end
|
|
|
|
# # TODO: remove?? this is the old way of handling discrete data... should be
|
|
# # replaced by the Axis type and logic
|
|
# function setTicksFromStringVector(plt::Plot, d::KW, di::KW, letter)
|
|
# sym = Symbol(letter)
|
|
# ticksym = Symbol(letter * "ticks")
|
|
# pargs = plt.attr
|
|
# v = di[sym]
|
|
#
|
|
# # do we really want to do this?
|
|
# typeof(v) <: AbstractArray || return
|
|
# isempty(v) && return
|
|
# trueOrAllTrue(_ -> typeof(_) <: AbstractString, v) || return
|
|
#
|
|
# # compute the ticks and labels
|
|
# ticks, labels = if ticksType(pargs[ticksym]) == :ticks_and_labels
|
|
# # extend the existing ticks and labels. only add to labels if they're new!
|
|
# ticks, labels = pargs[ticksym]
|
|
# newlabels = filter(_ -> !(_ in labels), unique(v))
|
|
# newticks = if isempty(ticks)
|
|
# collect(1:length(newlabels))
|
|
# else
|
|
# maximum(ticks) + collect(1:length(newlabels))
|
|
# end
|
|
# ticks = vcat(ticks, newticks)
|
|
# labels = vcat(labels, newlabels)
|
|
# ticks, labels
|
|
# else
|
|
# # create new ticks and labels
|
|
# newlabels = unique(v)
|
|
# collect(1:length(newlabels)), newlabels
|
|
# end
|
|
#
|
|
# d[ticksym] = ticks, labels
|
|
# plt.attr[ticksym] = ticks, labels
|
|
#
|
|
# # add an origsym field so that later on we can re-compute the x vector if ticks change
|
|
# origsym = Symbol(letter * "orig")
|
|
# di[origsym] = v
|
|
# di[sym] = get_indices(v, labels)
|
|
#
|
|
# # loop through existing plt.seriesargs and adjust indices if there is an origsym key
|
|
# for sargs in plt.seriesargs
|
|
# if haskey(sargs, origsym)
|
|
# # TODO: might need to call the setindex function instead to trigger a plot update for some backends??
|
|
# sargs[sym] = get_indices(sargs[origsym], labels)
|
|
# end
|
|
# end
|
|
# end
|
|
|
|
|
|
# --------------------------------------------------------------------
|
|
|
|
|
|
|
|
# --------------------------------------------------------------------
|
|
|
|
# function Base.copy(plt::Plot)
|
|
# backend(plt.backend)
|
|
# plt2 = plot(; plt.attr...)
|
|
# for sargs in plt.seriesargs
|
|
# sargs = filter((k,v) -> haskey(_series_defaults,k), sargs)
|
|
# plot!(plt2; sargs...)
|
|
# end
|
|
# plt2
|
|
# end
|
|
|
|
# --------------------------------------------------------------------
|