Merge pull request #60 from baggepinnen/noplots

remove Plots.jl from dependencies

Project.toml

@@ -1,7 +1,7 @@
 name = "DynamicAxisWarping"
 uuid = "aaaaaaaa-4a10-5553-b683-e707b00e83ce"
 authors = ["Fredrik Bagge Carlson <[email protected]>"]
-version = "0.4.16"
+version = "0.4.17"
 
 [deps]
 BinDeps = "9e28174c-4ba2-5203-b857-d8d62c4213ee"
@@ -11,8 +11,8 @@ Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
+RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
 SlidingDistancesBase = "25b0cc0c-38e4-462f-a11d-8564868c562d"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -27,8 +27,8 @@ DelimitedFiles = "1"
 Distances = "0.8, 0.9, 0.10"
 FillArrays = "1"
 LoopVectorization = "0.9, 0.10, 0.11, 0.12"
-Plots = "1.0"
 ProgressMeter = "1.2"
+RecipesBase = "1.0"
 Requires = "1.0"
 SlidingDistancesBase = "0.2, 0.3"
 StatsBase = "0.32, 0.33"
@@ -40,6 +40,7 @@ ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 LightGraphs = "093fc24a-ae57-5d10-9952-331d41423f4d"
 MatrixProfile = "24e37439-14ec-4097-bda3-6a65822e2305"
 QuadGK = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 
 [targets]
-test = ["MatrixProfile", "LightGraphs", "QuadGK", "ForwardDiff"]
+test = ["MatrixProfile", "LightGraphs", "QuadGK", "ForwardDiff", "Plots"]

README.md

@@ -112,7 +112,7 @@ plot(mp1, mp2)
 The function `dtwnn` searches for a pattern in a long time series. By default, it *does not normalize* the data over each window, to do this, pass, e.g., `ZNormalizer` as the fifth argument.
 
 ```julia
-using DynamicAxisWarping, Distances
+using DynamicAxisWarping, Distances, Plots
 radius = 5
 a      = sin.(0.1 .* (1:100))     .+ 0.1 .* randn.()
 b      = sin.(0.1 .* (1:100_000)) .+ 0.1 .* randn.()
@@ -216,6 +216,7 @@ profile = matrix_profile(y, m, DTW(radius, [transportcost]))
 ## `transportcost`
 `transportcost` adds an additional penalty multiplier for "transporting", i.e., deviations from the Euclidean matching. The standard DTW distance does not consider this added cost and the default is 1. A value greater than 1 multiplies the cost of moving horizontally or vertically in the coupling matrix, promoting a diagonal move, corresponding to the standard Euclidean matching. The influence of the transport cost can be visualized with
 ```julia
+using DynamicAxisWarping, Plots
 a = sin.(1:100); b = sin.(1:100) .+ randn.();
 dtwplot(a,b, transportcost=1)    # Default
 dtwplot(a,b, transportcost=1.01) # Should be "more diagonal"

src/DynamicAxisWarping.jl

@@ -10,7 +10,7 @@ using DataStructures
 using SlidingDistancesBase
 import SlidingDistancesBase: floattype, lastlength, setup_normalizer
 using LoopVectorization
-using Plots, Plots.PlotMeasures # Plots required both for @layout and for the margins
+using RecipesBase
 using Requires
 using UnPack
 

src/plots.jl

@@ -58,10 +58,13 @@ handleargs(h; kwargs...) = handleargs(h.args...; kwargs...)
         layout --> 1
     end
 
-    left_margin --> 0mm
-    bottom_margin --> 0mm
-    top_margin --> 0mm
-    right_margin --> 0mm
+    plots_id = Base.PkgId(Base.UUID("91a5bcdd-55d7-5caf-9e0b-520d859cae80"), "Plots")
+    Plots = Base.loaded_modules[plots_id]
+
+    left_margin --> 0Plots.mm
+    bottom_margin --> 0Plots.mm
+    top_margin --> 0Plots.mm
+    right_margin --> 0Plots.mm
 
     # heatmap
     @series begin