diff --git a/src/args.jl b/src/args.jl
index b305d613..3694bd35 100644
--- a/src/args.jl
+++ b/src/args.jl
@@ -866,7 +866,7 @@ function extractGroupArgs(v::AVec, args...; legendEntry = string)
     if n > 100
         warn("You created n=$n groups... Is that intended?")
     end
-    groupIds = Vector{Int}[filter(i -> v[i] == glab, 1:length(v)) for glab in groupLabels]
+    groupIds = Vector{Int}[filter(i -> v[i] == glab, linearindices(v)) for glab in groupLabels]
     GroupBy(map(legendEntry, groupLabels), groupIds)
 end
 
@@ -874,7 +874,7 @@ legendEntryFromTuple(ns::Tuple) = string(("$n " for n in ns)...)
 
 # this is when given a tuple of vectors of values to group by
 function extractGroupArgs(vs::Tuple, args...)
-    (vs == ()) && return GroupBy([""], [1:size(args[1],1)])
+    (vs == ()) && return GroupBy([""], [indices(args[1],1)])
     v = collect(zip(vs...))
     extractGroupArgs(v, args...; legendEntry = legendEntryFromTuple)
 end
diff --git a/src/backends/glvisualize.jl b/src/backends/glvisualize.jl
index 974b73b1..d989b927 100644
--- a/src/backends/glvisualize.jl
+++ b/src/backends/glvisualize.jl
@@ -802,7 +802,7 @@ function gl_bar(d, kw_args)
     hw = if bw == nothing
         ignorenan_mean(diff(x))
     else
-        Float64[_cycle(bw,i)*0.5 for i=1:length(x)]
+        Float64[_cycle(bw,i)*0.5 for i=linearindices(x)]
     end
 
     # make fillto a vector... default fills to 0
@@ -852,7 +852,7 @@ function gl_boxplot(d, kw_args)
     sx, sy = m[1,1], m[2,2]
     for (i,glabel) in enumerate(glabels)
         # filter y
-        values = y[filter(i -> _cycle(x,i) == glabel, 1:length(y))]
+        values = y[filter(i -> _cycle(x,i) == glabel, linearindices(y))]
         # compute quantiles
         q1,q2,q3,q4,q5 = quantile(values, linspace(0,1,5))
         # notch
@@ -963,7 +963,7 @@ function scale_for_annotations!(series::Series, scaletype::Symbol = :pixels)
         # with a list of custom shapes for each
         msw, msh = anns.scalefactor
         offsets = Array{Vec2f0}(length(anns.strs))
-        series[:markersize] = map(1:length(anns.strs)) do i
+        series[:markersize] = map(linearindices(anns.strs)) do i
             str = _cycle(anns.strs, i)
             # get the width and height of the string (in mm)
             sw, sh = text_size(str, anns.font.pointsize)
diff --git a/src/backends/plotly.jl b/src/backends/plotly.jl
index 1bd9f096..b72a3996 100644
--- a/src/backends/plotly.jl
+++ b/src/backends/plotly.jl
@@ -370,7 +370,7 @@ end
 
 
 function plotly_colorscale(grad::ColorGradient, α)
-    [[grad.values[i], rgb_string(grad.colors[i])] for i in 1:length(grad.colors)]
+    [[grad.values[i], rgb_string(grad.colors[i])] for i in linearindices(grad.colors)]
 end
 plotly_colorscale(c, α) = plotly_colorscale(cgrad(alpha=α), α)
 # plotly_colorscale(c, alpha = nothing) = plotly_colorscale(cgrad(), alpha)
@@ -397,7 +397,7 @@ end
 # we split by NaNs and then construct/destruct the shapes to get the closed coords
 function plotly_close_shapes(x, y)
     xs, ys = nansplit(x), nansplit(y)
-    for i=1:length(xs)
+    for i=linearindices(xs)
         shape = Shape(xs[i], ys[i])
         xs[i], ys[i] = coords(shape)
     end
diff --git a/src/backends/pyplot.jl b/src/backends/pyplot.jl
index 80a7f77c..ad135a8a 100644
--- a/src/backends/pyplot.jl
+++ b/src/backends/pyplot.jl
@@ -244,7 +244,7 @@ end
 # end
 
 function get_locator_and_formatter(vals::AVec)
-    pyticker["FixedLocator"](1:length(vals)), pyticker["FixedFormatter"](vals)
+    pyticker["FixedLocator"](linearindices(vals)), pyticker["FixedFormatter"](vals)
 end
 
 function add_pyfixedformatter(cbar, vals::AVec)
@@ -589,7 +589,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
             shapes = series[:markershape]
             msc = py_markerstrokecolor(series)
             lw = py_dpi_scale(plt, series[:markerstrokewidth])
-            for i=1:length(y)
+            for i=linearindices(y)
                 extrakw[:c] = if series[:marker_z] == nothing
                     py_color_fix(py_color(_cycle(series[:markercolor],i)), x)
                 else
@@ -850,7 +850,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
         kw = KW()
         if discrete_colorbar_values != nothing
             locator, formatter = get_locator_and_formatter(discrete_colorbar_values)
-            # kw[:values] = 1:length(discrete_colorbar_values)
+            # kw[:values] = linearindices(discrete_colorbar_values)
             kw[:values] = sp[:zaxis][:continuous_values]
             kw[:ticks] = locator
             kw[:format] = formatter
diff --git a/src/components.jl b/src/components.jl
index eba135c2..c88fd545 100644
--- a/src/components.jl
+++ b/src/components.jl
@@ -186,7 +186,7 @@ end
 function scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
     sx, sy = coords(shape)
     cx, cy = c
-    for i=1:length(sx)
+    for i=linearindices(sx)
         sx[i] = (sx[i] - cx) * x + cx
         sy[i] = (sy[i] - cy) * y + cy
     end
@@ -201,7 +201,7 @@ end
 "translate a Shape in space"
 function translate!(shape::Shape, x::Real, y::Real = x)
     sx, sy = coords(shape)
-    for i=1:length(sx)
+    for i=linearindices(sx)
         sx[i] += x
         sy[i] += y
     end
@@ -229,7 +229,7 @@ end
 function rotate!(shape::Shape, Θ::Real, c = center(shape))
     x, y = coords(shape)
     cx, cy = c
-    for i=1:length(x)
+    for i=linearindices(x)
         xi = rotate_x(x[i], y[i], Θ, cx, cy)
         yi = rotate_y(x[i], y[i], Θ, cx, cy)
         x[i], y[i] = xi, yi
@@ -506,7 +506,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
             push!(msize, maxscale)
             baseshape = _cycle(get(anns.baseshape),i)
             shape = scale(baseshape, msw*xscale/maxscale, msh*yscale/maxscale, (0,0))
-        end for i=1:length(anns.strs)]
+        end for i=linearindices(anns.strs)]
         series[:markershape] = shapes
         series[:markersize] = msize
     end
diff --git a/src/deprecated/backends/gadfly.jl b/src/deprecated/backends/gadfly.jl
index bb501db2..516e3c41 100644
--- a/src/deprecated/backends/gadfly.jl
+++ b/src/deprecated/backends/gadfly.jl
@@ -258,7 +258,7 @@ function addToGadflyLegend(plt::Plot, d::KW)
                 foundit = false
 
                 # extend the label if we found this color
-                for i in 1:length(guide.colors)
+                for i in linearindices(guide.colors)
                     if RGB(c) == guide.colors[i]
                         guide.labels[i] *= ", " * d[:label]
                         foundit = true
@@ -333,9 +333,9 @@ end
 #     # this is super weird, but... oh well... for some reason this creates n separate line segments...
 #     # create a list of vertices that go: [x1,x2,x2,x3,x3, ... ,xi,xi, ... xn,xn] (same for y)
 #     # then the vector passed to the "color" keyword should be a vector: [1,1,2,2,3,3,4,4, ..., i,i, ... , n,n]
-#     csindices = Int[mod1(i,length(cscheme.v)) for i in 1:length(d[:y])]
+#     csindices = Int[mod1(i,length(cscheme.v)) for i in linearindices(d[:y])]
 #     cs = collect(repmat(csindices', 2, 1))[1:end-1]
-#     grp = collect(repmat((1:length(d[:y]))', 2, 1))[1:end-1]
+#     grp = collect(repmat((linearindices(d[:y]))', 2, 1))[1:end-1]
 #     d[:x], d[:y] = map(createSegments, (d[:x], d[:y]))
 #     colorgroup = [(:linecolor, cs), (:group, grp)]
 
diff --git a/src/examples.jl b/src/examples.jl
index 4393ab60..e4755c0a 100644
--- a/src/examples.jl
+++ b/src/examples.jl
@@ -379,7 +379,7 @@ function test_examples(pkgname::Symbol; debug = false, disp = true, sleep = noth
                                         skip = [], only = nothing)
   Plots._debugMode.on = debug
   plts = Dict()
-  for i in 1:length(_examples)
+  for i in linearindices(_examples)
     only != nothing && !(i in only) && continue
     i in skip && continue
     try
diff --git a/src/recipes.jl b/src/recipes.jl
index d4d1b201..7631e2f8 100644
--- a/src/recipes.jl
+++ b/src/recipes.jl
@@ -291,7 +291,7 @@ end
     hw = if bw == nothing
         0.5ignorenan_mean(diff(procx))
     else
-        Float64[0.5_cycle(bw,i) for i=1:length(procx)]
+        Float64[0.5_cycle(bw,i) for i=linearindices(procx)]
     end
 
     # make fillto a vector... default fills to 0
@@ -872,7 +872,7 @@ function get_xy(o::OHLC, x, xdiff)
 end
 
 # get the joined vector
-function get_xy(v::AVec{OHLC}, x = 1:length(v))
+function get_xy(v::AVec{OHLC}, x = linearindices(v))
     xdiff = 0.3ignorenan_mean(abs.(diff(x)))
     x_out, y_out = zeros(0), zeros(0)
     for (i,ohlc) in enumerate(v)
diff --git a/src/utils.jl b/src/utils.jl
index 8c5986fc..5dc9bc46 100644
--- a/src/utils.jl
+++ b/src/utils.jl
@@ -1,5 +1,5 @@
 
-calcMidpoints(edges::AbstractVector) = Float64[0.5 * (edges[i] + edges[i+1]) for i in 1:length(edges)-1]
+calcMidpoints(edges::AbstractVector) = Float64[0.5 * (edges[i] + edges[i+1]) for i in linearindices(edges)-1]
 
 "Make histogram-like bins of data"
 function binData(data, nbins)
@@ -43,7 +43,7 @@ function barHack(; kw...)
   # estimate the edges
   dists = diff(midpoints) * 0.5
   edges = zeros(length(midpoints)+1)
-  for i in 1:length(edges)
+  for i in linearindices(edges)
     if i == 1
       edge = midpoints[1] - dists[1]
     elseif i == length(edges)
@@ -56,7 +56,7 @@ function barHack(; kw...)
 
   x = Float64[]
   y = Float64[]
-  for i in 1:length(heights)
+  for i in linearindices(heights)
     e1, e2 = edges[i:i+1]
     append!(x, [e1, e1, e2, e2])
     append!(y, [fillrange, heights[i], heights[i], fillrange])
diff --git a/test/imgcomp.jl b/test/imgcomp.jl
index 0a59e0df..79f9879f 100644
--- a/test/imgcomp.jl
+++ b/test/imgcomp.jl
@@ -92,7 +92,7 @@ function image_comparison_facts(pkg::Symbol;
                                 debug = false,  # print debug information?
                                 sigma = [1,1],  # number of pixels to "blur"
                                 eps = 1e-2)     # acceptable error (percent)
-  for i in 1:length(Plots._examples)
+  for i in linearindices(Plots._examples)
     i in skip && continue
     if only == nothing || i in only
       @test image_comparison_tests(pkg, i, debug=debug, sigma=sigma, eps=eps) |> success == true