Line segments
using InMemoryDatasets, StatisticalGraphics, DLMReader
Segment
produces line segments. For each segment the main coordinate and the lower and the upper value must be supplied.
ds = Dataset(y=1:10, low=rand(10), up=rand(10) .+ 1.3)
sgplot(ds,
Segment(y=:y, lower=:low, upper=:up),
clip=false
)
Overlay Scatter plot
cars = filereader(joinpath(dirname(pathof(StatisticalGraphics)),
"..", "docs", "assets", "cars.csv"),
types=Dict(9=>Date))
cars_sum = combine(groupby(cars, :Origin), 1=>[IMD.mean, IMD.maximum, IMD.minimum])
sgplot(cars_sum,
[
Segment(y=:Origin, lower=r"^min", upper=r"^max"),
Scatter(y=:Origin, x=r"^mean"),
Scatter(y=:Origin, x=r"^min", symbol=:stroke, angle=90),
Scatter(y=:Origin, x=r"^max", symbol=:stroke, angle=90)
],
xaxis=Axis(title="Acceleration", padding=10),
yaxis=Axis(padding=.5),
width=200
)
Segment
like other plots accept group
.
ohlc = filereader(joinpath(dirname(pathof(StatisticalGraphics)),
"..", "docs", "assets", "ohlc.csv"),
types = Dict(2=>Date, 8=>Symbol))
sgplot(ohlc,
Segment(x=:date, lower=:low, upper=:high, group=:c),
groupcolormodel=ohlc[:, :c],
xaxis=Axis(type=:time),
yaxis=Axis(title="")
)
Candlestick Chart
sgplot(ohlc,
[
Segment(x=:date, lower=:open, upper=:close, group=:c, thickness=5),
Segment(x=:date, lower=:low, upper=:high, group=:c)
],
groupcolormodel=ohlc[:, :c],
xaxis=Axis(type=:time),
yaxis=Axis(title=""),
legend=false
)
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