add many, many more example conversions. still not complete

5 files changed, 181 insertions, 0 deletions

diff --git a/examples/graphstyles/density.jl b/examples/graphstyles/density.jl
new file mode 100644
index 0000000..957b487
--- /dev/null
+++ b/examples/graphstyles/density.jl
@@ -0,0 +1,86 @@
+
+# Original Python:
+#   from pyx import *
+#
+#   # Mandelbrot calculation contributed by Stephen Phillips
+#
+#   # Mandelbrot parameters
+#   re_min = -2
+#   re_max = 0.5
+#   im_min = -1.25
+#   im_max = 1.25
+#   gridx = 100
+#   gridy = 100
+#   max_iter = 10
+#
+#   # Set-up
+#   re_step = (re_max - re_min) / gridx
+#   im_step = (im_max - im_min) / gridy
+#   d = []
+#
+#   # Compute fractal
+#   for re_index in range(gridx):
+#       re = re_min + re_step * (re_index + 0.5)
+#       for im_index in range(gridy):
+#           im = im_min + im_step * (im_index + 0.5)
+#           c = complex(re, im)
+#           n = 0
+#           z = complex(0, 0)
+#           while n < max_iter and abs(z) < 2:
+#               z = (z * z) + c
+#               n += 1
+#           d.append([re, im, n])
+#
+#   # Plot graph
+#   g = graph.graphxy(height=8, width=8,
+#                   x=graph.axis.linear(min=re_min, max=re_max, title=r"$\Re(c)$"),
+#                   y=graph.axis.linear(min=im_min, max=im_max, title=r'$\Im(c)$'))
+#   g.plot(graph.data.points(d, x=1, y=2, color=3, title="iterations"),
+#       [graph.style.density(gradient=color.rgbgradient.Rainbow)])
+#   g.writeEPSfile()
+#   g.writePDFfile()
+#   g.writeSVGfile()
+
+using PyX
+using LaTeXStrings
+
+# Mandelbrot parameters
+re_min = -2
+re_max = 0.5
+im_min = -1.25
+im_max = 1.25
+gridx = 100
+gridy = 100
+max_iter = 10
+
+# Set-up
+re_step = (re_max - re_min) / gridx
+im_step = (im_max - im_min) / gridy
+# Julia note: indexing is opposite of what would be idiomatic Julia
+d = zeros(gridx*gridy, 3)
+
+# Compute fractal
+for re_index in 0:(gridx-1)
+    re = re_min + re_step * (re_index + 0.5)
+    for im_index in 0:(gridy-1)
+        im = im_min + im_step * (im_index + 0.5)
+        c = complex(re, im)
+        n = 0
+        z = complex(0, 0)
+        while n < max_iter && abs(z) < 2
+            z = (z * z) + c
+            n += 1
+        end
+        d[re_index*gridy + im_index + 1, :] = [re, im, n]
+    end
+end
+
+# Plot graph
+g = graph.graphxy(height=8, width=8,
+                  x=graph_axis.linear(min=re_min, max=re_max, title=L"$\Re(c)$"),
+                  y=graph_axis.linear(min=im_min, max=im_max, title=L"$\Im(c)$"))
+plot(g, graph_data.points(d, x=1, y=2, color=3, title="iterations"),
+        [graph_style.density(gradient=color_rgbgradient.Rainbow)])
+writeEPSfile(g, "density")
+writePDFfile(g, "density")
+
diff --git a/examples/graphstyles/errorbar.dat b/examples/graphstyles/errorbar.dat
new file mode 100644
index 0000000..bd33a65
--- /dev/null
+++ b/examples/graphstyles/errorbar.dat
@@ -0,0 +1,6 @@
+1   2  0.7
+2   3  0.9
+3   8  0.8
+4  13  1.2
+5  18  1.1
+6  21  1.3
diff --git a/examples/graphstyles/errorbar.jl b/examples/graphstyles/errorbar.jl
new file mode 100644
index 0000000..94b80dc
--- /dev/null
+++ b/examples/graphstyles/errorbar.jl
@@ -0,0 +1,19 @@
+
+# Original Python:
+#   from pyx import *
+#
+#   g = graph.graphxy(width=8)
+#   g.plot(graph.data.file("errorbar.dat", x=1, y=2, dy=3),
+#       [graph.style.symbol(), graph.style.errorbar()])
+#   g.writeEPSfile("errorbar")
+#   g.writePDFfile("errorbar")
+#   g.writeSVGfile("errorbar")
+
+using PyX
+
+g = graph.graphxy(width=8)
+plot(g, graph_data.file("examples/graphstyles/errorbar.dat", x=1, y=2, dy=3),
+        [graph_style.symbol(), graph_style.errorbar()])
+writeEPSfile(g, "errorbar")
+writePDFfile(g, "errorbar")
+
diff --git a/examples/graphstyles/histogram.jl b/examples/graphstyles/histogram.jl
new file mode 100644
index 0000000..ebe35c6
--- /dev/null
+++ b/examples/graphstyles/histogram.jl
@@ -0,0 +1,29 @@
+
+# Original Python:
+#   from pyx import *
+#
+#   d = graph.data.points([(1,  0.3),
+#                       (2, -0.7),
+#                       (3, -0.3),
+#                       (4,  0.8),
+#                       (5,  0.5)], x=1, y=2)
+#
+#   g = graph.graphxy(width=8)  
+#   g.plot(d, [graph.style.histogram()])     
+#   g.writeEPSfile("histogram")
+#   g.writePDFfile("histogram")
+#   g.writeSVGfile("histogram")
+
+using PyX
+
+d = graph_data.points([(1,  0.3),
+                       (2, -0.7),
+                       (3, -0.3),
+                       (4,  0.8),
+                       (5,  0.5)], x=1, y=2)
+
+g = graph.graphxy(width=8)  
+plot(g, d, [graph_style.histogram()])     
+writeEPSfile(g, "histogram")
+writePDFfile(g, "histogram")
+
diff --git a/examples/graphstyles/usesymbol.jl b/examples/graphstyles/usesymbol.jl
new file mode 100644
index 0000000..af49f99
--- /dev/null
+++ b/examples/graphstyles/usesymbol.jl
@@ -0,0 +1,41 @@
+
+# Original Python:
+#   from pyx import *
+#
+#   # colors and symbols to use (alternatingly)
+#   colors = [color.rgb.red, color.rgb.green, color.rgb.blue, color.gray.black]
+#   symbols = [graph.style._diamondsymbol, graph.style._trianglesymbol, graph.style._circlesymbol]
+#                       
+#   # create the graph styles to be used below
+#   symbol = graph.style.symbol(symbol=attr.changelist(symbols),
+#                               symbolattrs=[deco.stroked.clear,
+#                                           attr.changelist([deco.filled([cc]) for cc in colors])])
+#   line = graph.style.line(lineattrs=[attr.changelist(colors),
+#                                   attr.changelist([style.linestyle.solid])])
+#
+#   g = graph.graphxy(width=8, x=graph.axis.linear(min=0, max=1))
+#   g.plot([graph.data.function("y(x) = x**%d" % i, points=8) for i in range(1, 7)],
+#       styles=[line, symbol])
+#   g.writeEPSfile("usesymbol")
+#   g.writePDFfile("usesymbol")
+#   g.writeSVGfile("usesymbol")
+
+using PyX
+
+# colors and symbols to use (alternatingly)
+colors = [color_rgb.red, color_rgb.green, color_rgb.blue, color_gray.black]
+symbols = [graph_style._diamondsymbol, graph_style._trianglesymbol, graph_style._circlesymbol]
+                       
+# create the graph styles to be used below
+symbol = graph_style.symbol(symbol=attr.changelist(symbols),
+                            symbolattrs=[deco_stroked.clear,
+                                         attr.changelist([deco.filled([cc]) for cc in colors])])
+line = graph_style.line(lineattrs=[attr.changelist(colors),
+                                   attr.changelist([style_linestyle.solid])])
+
+g = graph.graphxy(width=8, x=graph_axis.linear(min=0, max=1))
+plot(g, [graph_data_function("y(x) = x**$i", points=8) for i in 1:7],
+        styles=[line, symbol])
+writeEPSfile(g, "usesymbol")
+writePDFfile(g, "usesymbol")
+