Update to use only PyCall (and no PyPlot)

Author: briochemc

README.md

@@ -1,7 +1,7 @@
 
 # Julia ProPlot Examples
 
-Here you will find some (most?) of the [ProPlot](https://proplot.readthedocs.io/en/latest/index.html) examples from the documentation, but translated to Julia using [PyCall.jl](https://github.com/JuliaPy/PyCall.jl) and [PyPlot.jl](https://github.com/JuliaPy/PyPlot.jl).
+Here you will find some (most?) of the [ProPlot](https://proplot.readthedocs.io/en/latest/index.html) examples from the documentation, but translated to Julia using [PyCall.jl](https://github.com/JuliaPy/PyCall.jl).
 
 Note you must install ProPlot first. (And probably some other things.)
 
@@ -14,22 +14,28 @@ Click on the images below to be directed to the julia code that produced it.
 ### Figures and subplots
 
 
-[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/b348d0832f657aae4f466ec4e22d733f19bc9f71/Figures-and-subplots-1.svg">
-<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/b348d0832f657aae4f466ec4e22d733f19bc9f71/Figures-and-subplots-2.svg">
-<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/b348d0832f657aae4f466ec4e22d733f19bc9f71/Figures-and-subplots-3.svg">](basics/Figures-and-subplots.jl)
+[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Figures-and-subplots-1.svg">
+<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Figures-and-subplots-2.svg">
+<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Figures-and-subplots-3.svg">](basics/Figures-and-subplots.jl)
 
 ### Formatting subplots
 
-[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/b348d0832f657aae4f466ec4e22d733f19bc9f71/Formatting-subplots.svg">](basics/Formatting-subplots.jl)
+[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Formatting-subplots.svg">](basics/Formatting-subplots.jl)
 
 ### Changing rc settings
 
-[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/b348d0832f657aae4f466ec4e22d733f19bc9f71/Changing-rc-settings.svg">](basics/Changing-rc-settings.jl)
+[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Changing-rc-settings.svg">](basics/Changing-rc-settings.jl)
 
 ### Subplot grids
 
-[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/b348d0832f657aae4f466ec4e22d733f19bc9f71/Subplot-grids.svg">](basics/Subplot-grids.jl)
+[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Subplot-grids.svg">](basics/Subplot-grids.jl)
 
+## Subplots features
+
+### Automatic figure sizing
+
+[<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Automatic-figure-sizing-1.svg.svg">
+<img src="https://gist.github.com/briochemc/205e88cd3bfb13dd8c42c539a32afe28/raw/8dc99126f838f4ed4cb1eaec5c9286caaa89b44e/Automatic-figure-sizing-2.svg">](subplots/Automatic-figure-sizing.jl)
 
 ## Notes
 
@@ -39,4 +45,4 @@ Click on the images below to be directed to the julia code that produced it.
 
 1. `f, axs = proplot.subplots()` returns a vector of axes, even if you specify multiple columns, so that you need to reshape (and transpose) the `axs` array to get access to the axes in the "expected" way.
 
-1. I saved the images via `savefig("X.png")`, which did not preserve some features.
+1. I saved the images via `f.savefig("X.svg", transparent=false)`.

basics/Changing-rc-settings.jl

@@ -5,7 +5,6 @@
 # Import proplot using PyCall
 using PyCall
 proplot = pyimport("proplot")
-using PyPlot
 
 # Update global settings in several different ways
 proplot.rc.cycle = "colorblind"
@@ -41,3 +40,4 @@ ay.plot(cumsum(rand(100) .- 0.2), color="r", lw=3)
 
 # Reset persistent modifications from head of cell
 proplot.rc.reset()
+f.savefig("Changing-rc-settings.svg", transparent=false)

basics/Figures-and-subplots.jl

@@ -5,7 +5,6 @@
 # Import proplot using PyCall
 using PyCall
 proplot = pyimport("proplot")
-using PyPlot
 
 # start of example
 data = cumsum(2(rand(100, 5) .- 0.5), dims=1)
@@ -18,6 +17,7 @@ axs[1].format(xticks=20, xtickminor=false)
  suptitle="Simple subplot grid", title="Title",
  xlabel="x axis", ylabel="y axis"
 ) for ax in axs]
+f.savefig("Figures-and-subplots-1.svg", transparent=false)
 
 # Complex grid
 array = [ # the "picture"; 1 == subplot a, 2 == subplot b, etc.
@@ -30,6 +30,7 @@ f, axs = proplot.subplots(array, axwidth=1.8)
  xlabel="xlabel", ylabel="ylabel"
 ) for ax in axs]
 axs[3].plot(data, lw=2)
+f.savefig("Figures-and-subplots-2.svg", transparent=false)
 
 # Really complex grid
 array = [ # the "picture"
@@ -43,4 +44,5 @@ f, axs = proplot.subplots(array, width=5, span=false)
  suptitle="Really complex subplot grid",
  xlabel="xlabel", ylabel="ylabel", abc=true
 ) for ax in axs]
-axs[1].plot(data, lw=2)
+axs[1].plot(data, lw=2)
+f.savefig("Figures-and-subplots-3.svg", transparent=false)

basics/Formatting-subplots.jl

@@ -5,9 +5,8 @@
 # Import proplot using PyCall
 using PyCall
 proplot = pyimport("proplot")
-using PyPlot
 
-f, axs = proplot.subplots(ncols=2, nrows=2, share=0, tight=true, axwidth=2.3)
+f, axs = proplot.subplots(ncols=2, nrows=2, share=0, tight=true, axwidth=1.7)
 axs[1].plot(range(1, 10, length=80), cumsum(rand(80, 5) .- 0.5, dims=1))
 [ax.format(
  suptitle="Format command demo",
@@ -22,3 +21,4 @@ axs[1].plot(range(1, 10, length=80), cumsum(rand(80, 5) .- 0.5, dims=1))
  ytickloc="both", yticklabelloc="both", ygridminor=true,
  linewidth=0.8, gridlinewidth=0.8, gridminorlinewidth=0.5,
 ) for ax in axs]
+f.savefig("Formatting-subplots.svg", transparent=false)

basics/Subplot-grids.jl

@@ -5,7 +5,6 @@
 # Import proplot using PyCall
 using PyCall
 proplot = pyimport("proplot")
-using PyPlot
 
 f, axs = proplot.subplots(ncols=4, nrows=4, axwidth=1.2)
 [ax.format(
@@ -24,3 +23,4 @@ axs[1].format(color="black", facecolor="gray5", linewidth=1.4)
 for ax in axs[2:end, 2:end]
  ax.plot(cumsum(rand(50, 5) .- 0.5, dims=1), cycle="Grays", lw=2)
 end
+f.savefig("Subplot-grids.svg", transparent=false)

subplots/Automatic-figure-sizing.jl

@@ -0,0 +1,26 @@
+# Translating
+# https://proplot.readthedocs.io/en/latest/subplots.html#Automatic-figure-sizing
+# to Julia
+
+# Import proplot using PyCall
+using PyCall
+proplot = pyimport("proplot")
+#using PyPlot
+
+# Cartopy projections
+f, axs = proplot.subplots(ncols=2, nrows=3, proj="robin")
+map(x -> x.format( 
+ land=true, landcolor="k",
+ suptitle="Auto figure sizing with grid of cartopy projections"
+ ), axs)
+f.savefig("Automatic-figure-sizing-1.svg", transparent=false)
+
+# Images
+f, axs = proplot.subplots(ncols=2, nrows=3)
+colors = cumsum(rand(10, 20, 3), dims=3)
+colors /= maximum(colors)
+[ax.imshow(colors) for ax in axs]
+[ax.format(
+ suptitle="Auto figure sizing with grid of images"
+) for ax in axs]
+f.savefig("Automatic-figure-sizing-2.svg", transparent=false)