Fix CoreBoxes and rework the funcurve() function.

src/GMT.jl

@@ -179,9 +179,10 @@ export
 
 	add2PSfile, append2fig, isoutlier, linearfitxy, regiongeog, streamlines, peaks, polygonlevels, randinpolygon, polyfit, polyval,
 
-	ablines, ablines!, biplot, biplot!, density, density!, boxplot, boxplot!, cornerplot, cornerplot!, cubeplot, cubeplot!, ecdfplot, ecdfplot!,
-	fill_between, fill_between!, marginalhist, marginalhist!, parallelplot, parallelplot!, piechart, piechart!, plotlinefit, plotlinefit!,
-	qqplot, qqplot!, qqnorm, qqnorm!, remotegrid, sealand, squeeze, terramar, violin, violin!, viz, vizpdf, windbarbs, whereami,
+	ablines, ablines!, biplot, biplot!, density, density!, boxplot, boxplot!, cornerplot, cornerplot!, cubeplot, cubeplot!,
+	ecdfplot, ecdfplot!, fill_between, fill_between!, funcurve, marginalhist, marginalhist!, parallelplot, parallelplot!,
+	piechart, piechart!, plotlinefit, plotlinefit!, qqplot, qqplot!, qqnorm, qqnorm!, remotegrid, sealand, squeeze, terramar,
+	violin, violin!, viz, vizpdf, windbarbs, whereami,
 
 	maregrams, pastplates, seismicity, ecmwf, era5time, era5vars, listecmwfvars, meteostat, weather, wmsinfo, wmstest, wmsread,
 

src/extras/anaglyph.jl

@@ -54,8 +54,8 @@ function anaglyph(G::GMTgrid; vscale=1, sscale=2, view3d=false, zsize=4, azim=19
 	m_scale = -vscale / 50	# Amp factor
 
 	function gra(G, scale)
-		azim,elev = 0.0, 30.0
-		s = [sind(azim) * cosd(elev); cosd(azim) * cosd(elev); sind(elev)]
+		_azim,elev = 0.0, 30.0
+		s = [sind(_azim) * cosd(elev); cosd(_azim) * cosd(elev); sind(elev)]
 		data = zeros(Float32, size(G))
 		@inbounds Threads.@threads for c = 2:size(G,1)-1
 			@inbounds for r = 2:size(G,2)-1

src/extras/weather.jl

@@ -319,7 +319,7 @@ function ecmwf_fc(; filename="", levlist="", kw...)
 	function which_name(d::Dict, thisvar::String, name::String, filename::AbstractString, EXT::String)::String
 		# Select which name to use for saving the file. NAME is the composed (long) name. The others are user choices.
 		(filename != "") && return filename					# This one takes priority
-		fname_prefix::String = ((val = find_in_dict(d, [:prefix], false)[1]) !== nothing) ? string(val)::String * "_$(thisvar)$(EXT)" : ""
+		fname_prefix::String = ((_val = find_in_dict(d, [:prefix], false)[1]) !== nothing) ? string(_val)::String * "_$(thisvar)$(EXT)" : ""
 		return (fname_prefix != "") ? fname_prefix : name	# 'fname_prefix' takes priority if exists.
 	end
 

src/filter1d.jl

@@ -67,7 +67,9 @@ function filter1d_helper(cmd0::String, arg1; kwargs...)
 	r = common_grd(d, cmd0, cmd, "filter1d ", arg1)		# Finish build cmd and run it
 	if (isa(arg1, GDtype))								# Keep the attribs if they existed in arg1
 		isa(arg1, GMTdataset) && !isempty(arg1.attrib) && (r.attrib = arg1.attrib)
-		isa(arg1, Vector) && !isempty(arg1[1].attrib) && [r[k].attrib = arg1[1].attrib for k = 1:length(arg1)]
+		if (isa(arg1, Vector) && !isempty(arg1[1].attrib))
+			for k = 1:length(arg1)  r[k].attrib = arg1[1].attrib  end
+		end
 	end
 	return r
 end

src/gadm.jl

@@ -79,14 +79,14 @@ function gadm(country, subregions...; children::Bool=false, names::Bool=false, c
 
 	function _getlayer(plevel)
 		# Get layer of the desired `level` from the `data`.
-		nlayers = Gdal.nlayer(data)
-		for l = 0:nlayers - 1
+		_nlayers = Gdal.nlayer(data)
+		for l = 0:_nlayers - 1
 			layer = Gdal.getlayer(data, l)
 			lname = Gdal.getname(layer)
 			llevel = last(split(lname, "_"))
 			string(plevel) == llevel && return layer, lname
 		end
-		error("Asked data for a level ($(plevel+1)) that is lower than lowest data level ($(nlayers))")
+		error("Asked data for a level ($(plevel+1)) that is lower than lowest data level ($(_nlayers))")
 	end
 
 	function _get_attrib(feature)

src/linefit.jl

@@ -227,8 +227,8 @@ function _plotlinefit(D::GMTdataset, first::Bool, grp::Bool, d::Dict{Symbol,Any}
 
 	function do_ribs(d, symbs, def_color::String)
 		do_rib, rib_cor = false, ""
-		if ((val = find_in_dict(d, symbs)[1]) !== nothing)	# Either 'true' or ribbon color
-			rib_cor = (val == 1) ? def_color : string(val)::String 
+		if ((_val = find_in_dict(d, symbs)[1]) !== nothing)	# Either 'true' or ribbon color
+			rib_cor = (_val == 1) ? def_color : string(_val)::String 
 			do_rib = (rib_cor != "")
 		end
 		return do_rib, rib_cor

src/maregrams.jl

@@ -71,9 +71,10 @@ function maregrams(; list=false, code="", name="", days=2, starttime::String="",
 	(n_lines <= 0) && (println("This station has no data or a file tranfer error occured."); return GMTdataset())
 
 	mat = Matrix{Float64}(undef, n_lines, 2)
-	n = -2
 	var_in_mareg = ["prs(m)"]
 	open(file, "r") do io
+		n = -2
+		local ind
 		for line in eachline(io)
 			if ((n += 1) <= 0)					# To jump the first two (header) lines
 				(n == -1) && continue			# Header line with station name
@@ -123,14 +124,18 @@ function read_maregrams(fname=TESTSDIR * "/assets/maregs_online.csv")
 	names = Vector{String}(undef, 378)
 	codes = Vector{String}(undef, 378)
 	countries = Vector{String}(undef, 378)
-	n = -1
+	#fid = open(fname)
+	#iter = eachline(fid)
+		#for line in iter
 	open(fname, "r") do io
+		n = -1
         for line in eachline(io)
 			x, y, name, code, country = split(line, ",")
 			((n += 1) == 0) && continue						# The header line
 			mat[n, 1], mat[n, 2] = parse(Float64, x), parse(Float64, y)
 			names[n], codes[n], countries[n] = name, code, country
 		end
 	end
+	#close(fid)
 	Dict(:pos => mat, :name => names, :code => codes, :country => countries)
 end

src/potential/gravprisms.jl

@@ -64,11 +64,11 @@ function gravprisms(cmd0::String="", arg1::GDtype=GMTdataset(); kwargs...)
 	d = init_module(false, kwargs...)[1]		# Also checks if the user wants ONLY the HELP mode
 
 	function fish_grids(d, Gs, cmd, symbs, opt, N)
-		if ((val = find_in_dict(d, symbs)[1]) !== nothing)
-			if (isa(val, Real) || isa(val, String))
-				cmd *= string(" -", opt, val)::String
+		if ((_val = find_in_dict(d, symbs)[1]) !== nothing)
+			if (isa(_val, Real) || isa(_val, String))
+				cmd *= string(" -", opt, _val)::String
 			else
-				isa(val, GMTgrid) ? (Gs[N+=1] = val; cmd *= " -D") : error("Invalid type $(typeof(val)) for option $opt")
+				isa(_val, GMTgrid) ? (Gs[N+=1] = _val; cmd *= " -D") : error("Invalid type $(typeof(_val)) for option $opt")
 			end
 		end
 		return cmd, N

src/proj_utils.jl

@@ -167,8 +167,12 @@ function invgeod(lonlat1::Matrix{<:Real}, lonlat2::Matrix{<:Real}; proj::String=
 			az2 += 180;		(az2 > 180) && (az2 -= 360)
 		else
 			az1 .+= 180;	az2 .+= 180
-			[(az1[k] > 180) && (az1[k] -= 360) for k = 1:lastindex(az1)]
-			[(az2[k] > 180) && (az2[k] -= 360) for k = 1:lastindex(az2)]
+			@inbounds for k = 1:lastindex(az1)
+				(az1[k] > 180) && (az1[k] -= 360)
+			end
+			@inbounds for k = 1:lastindex(az2)
+				(az2[k] > 180) && (az2[k] -= 360)
+			end
 		end
 	end
 	return size(d,1) == 1 ? (d[1], az1[1], az2[1]) : (d, az1, az2)
@@ -493,8 +497,8 @@ function geodesic_long(lonlat1::VMr, lonlat2::VMr; step=0.0, np=180, proj::Strin
 	(step != 0) && (np = round(Int, dtot / step) + 1)	# Takes precedence over 'np' because that one has a default value.
 
 	function get_mindist(az)
-		D = geod(lonlat1, az, linspace(0,dtot,360), proj=proj, epsg=epsg)[1]
-		gmtwrite(_name, D);
+		_D = geod(lonlat1, az, linspace(0,dtot,360), proj=proj, epsg=epsg)[1]
+		gmtwrite(_name, _D);
 		gmt("mapproject -L$_name", [lonlat2[1] lonlat2[2]])		# Find closest point to B in the passing by geodesic.
 	end
 

src/psxy.jl

@@ -946,7 +946,7 @@ function parse_opt_S(d::Dict, arg1, is3D::Bool=false)
 				elseif (isa(val, Tuple) && isa(val[1], Function) && isa(val[2], VMr))	# ~useless size=(fun, [2,20]) but no col size
 					val2::Tuple = val
 					sc = _scale(eltype(val2[2]) <: Integer)
-					arg1 = hcat(arg1, funcurve(val2[1], vec(Float64.(val2[2] .* sc)), size(arg1,1)))
+					arg1 = hcat(arg1, funcurve(val2[1], vec(Float64.(val2[2] .* sc)), size(arg1,1))[2])
 				end
 			elseif (string(val)::String != "indata")	# WTF is "indata"?
 				marca *= arg2str(val)::String

src/spatial_funs.jl

@@ -690,7 +690,10 @@ function spatialjoin(D1::GMTdataset, D2::Vector{<:GMTdataset}; pred::Function=in
 	atts_vec = Vector{Vector{String}}(undef, length(att_names))
 
 	function fill_atts_vec(D2, ind, atts_vec, att_names, isleft=true)
-		[atts_vec[l] = Vector{String}(undef, length(ind)) for l = 1:length(att_names)]
+		#[atts_vec[l] = Vector{String}(undef, length(ind)) for l = 1:length(att_names)]
+		for l = 1:length(att_names)
+			atts_vec[l] = Vector{String}(undef, length(ind))
+		end
 		for k = 1:numel(ind)						# Loop over number of points in D1
 			if (isleft && ind[k] == 0)				# Skip if not joined
 				for l = 1:length(att_names)  atts_vec[l][k] = ""  end
@@ -705,16 +708,21 @@ function spatialjoin(D1::GMTdataset, D2::Vector{<:GMTdataset}; pred::Function=in
 	end
 
 	if (kind == :left)
-		atts_vec = fill_atts_vec(D2, ind, atts_vec, att_names)
-		[D1.attrib[att_names[l]] = atts_vec[l] for l = 1:numel(att_names)]	# Add the new attributes to D1.attrib
+		#[D1.attrib[att_names[l]] = atts_vec[l] for l = 1:numel(att_names)]	# Add the new attributes to D1.attrib
+		for l = 1:numel(att_names)					# Add the new attributes to D1.attrib
+			D1.attrib[att_names[l]] = atts_vec[l]
+		end
 		return D1
 	else
 		(kind != :inner) && error("Only :left or :inner joins are supported")
 		ind_retain = findall(ind .!= 0)				# Indices of points to retain
 		deleteat!(ind, findall(ind .== 0))			# Remove points that are not joined
 		atts_vec = fill_atts_vec(D2, ind, atts_vec, att_names, false)
 		D = mat2ds(D1, (ind_retain,:))				# TODO: Make this case a view
-		[D.attrib[att_names[l]] = atts_vec[l] for l = 1:numel(att_names)]	# Add the new attributes to D.attrib
+		#[D.attrib[att_names[l]] = atts_vec[l] for l = 1:numel(att_names)]	# Add the new attributes to D.attrib
+		for l = 1:numel(att_names)					# Add the new attributes to D.attrib
+			D.attrib[att_names[l]] = atts_vec[l]
+		end	
 		return D
 	end
 end

src/utils.jl

@@ -6,34 +6,43 @@ getdecimal(x::Number) = x - trunc(Int, x)
 """ Return an ierator over data skipping non-finite values"""
 skipnan(itr) = Iterators.filter(el->isfinite(el), itr)
 
-square(x) = x ^ 2
 pow(b,e)  = b ^ e
 
 """
-    y = funcurve(f::Function, lims::VMr, n=100) -> Vector{Float64}
-
-Geneate a curve between lims[1] and lims[2] having the form of function 'f'
+	funcurve(f::Function, lims, n=100)::Tuple{Vector{Float64}, Vector{Float64}}
 
-### Args
-- `f`: A function among: `exp`, `log`, `log10`, `exp10`, `sqrt`, `square`
-- `lims`: limits of `x` in `y = f(x)`
-- `n`: number of points in the generated curve.
+Evaluate a function over a range and return the computed points.
 
-### Example
+# Arguments
+- `f::Function`: The one dimensional function to be evaluated. This can be the named of a built-in function
+   (_e.g._, `exp`), a custom or an anonymous function.
+- `lims`: The limits defining the range over which to evaluate the function.
+  That is, the limits of `x` in `y = f(x)`. This can be a tuple or a vector with two elements.
+- `n::Int`: Number of points to evaluate (default: 100)
+
+# Returns
+- `Tuple{Vector{Float64}, Vector{Float64}}`: A tuple containing two vectors of Float64 values
+  representing the x-coordinates and corresponding function values
+
+# Example
 ```julia
-	x = funcurve(exp, [1, 10], 10)
+x, y = funcurve(exp, [0, 10])
+```
+
+Another example with a custom function (an anonymous function in this case):
+```julia
+x, y = funcurve(x->x^2, (0, 10))
+```
+
+Visualize the result with:
+```julia
+viz(x,y)
 ```
 """
-function funcurve(f::Function, lims::VMr, n=100)::Vector{Float64}
-	if     (f == exp)    x::Vector{Float64} = vec(log.(Float64.(lims)))
-	elseif (f == log)    x = vec(exp.(Float64.(lims)))
-	elseif (f == log10)  x = vec(exp10.(Float64.(lims)))
-	elseif (f == exp10)  x = vec(log10.(Float64.(lims)))
-	elseif (f == sqrt)   x = vec(square.(Float64.(lims)))
-	elseif (f == square) x = vec(sqrt.(Float64.(lims)))
-	else   error("Function $f not implemented in funcurve().")
-	end
-	f.(linspace(x[1], x[2], n))
+function funcurve(f::Function, lims, n::Integer=100)::Tuple{Vector{Float64}, Vector{Float64}}
+	x = collect(linspace(lims[1], lims[2], n))
+	y = f.(x)
+	return x, y
 end
 
 #=

test/test_misc.jl

@@ -376,9 +376,6 @@
 	add2PSfile("Bla")
 	add2PSfile(["Bla", "Bla"])
 
-	GMT.funcurve(GMT.square, [1 10])
-	@test_throws ErrorException("Function tan not implemented in funcurve().") GMT.funcurve(tan, [1 10]);
-
 	println("	DRAWING")
 	circle(0,0,1,first=true,Vd=dbg2);
 	cross(0,0,1,Vd=dbg2);