matplotlib retina to svg

Makefile

@@ -43,7 +43,7 @@ GIF=$(wildcard img/*.gif)
 
 build/_build/latex/%.pdf: img/%.svg
 	@mkdir -p $(@D)
-	rsvg-convert -f pdf -o $@ $<
+	rsvg-convert -f pdf -z 0.80 -o $@ $<
 
 build/_build/latex/%_00.pdf: img/%_00.pdf
 	@mkdir -p $(@D)
@@ -55,8 +55,8 @@ PDFIMG = $(patsubst img/%.svg, build/_build/latex/%.pdf, $(SVG)) \
 pdf: $(DEPS) $(OBJ) $(PDFIMG)
 	@echo $(PDFIMG)
 	make -C build latex
-	sed -i 's/\.svg/\.pdf/g' ${TEX}
-	sed -i s/\}\.gif/\_00\}.pdf/g $(TEX)
+	sed -i s/\\.svg/.pdf/g ${TEX}
+	sed -i s/\}\\.gif/\_00\}.pdf/g $(TEX)
 	sed -i s/{tocdepth}{0}/{tocdepth}{1}/g $(TEX)
 	sed -i s/{\\\\releasename}{发布}/{\\\\releasename}{}/g $(TEX)
 	sed -i s/{OriginalVerbatim}\\\[commandchars=\\\\\\\\\\\\{\\\\}\\\]/{OriginalVerbatim}\\\[commandchars=\\\\\\\\\\\\{\\\\},formatcom=\\\\footnotesize\\\]/g $(TEX)

build/ipynb2mdd.sh

@@ -29,7 +29,7 @@ for f in $MD/chapter*/*md; do
 	# Remove inner link. 
 	sed -i 's/\[\([^]]*\)\]([^\)]*.md)/\1/g' $f
 	# Refer pdf instead of svg.
-	sed -i s/\.svg/\.pdf/g $f
+	sed -i s/\\.svg/.pdf/g $f
 	# Refer img in the same level. 
 	sed -i 's/\](..\/img/\](img/g' $f
 	if [ "$f" != "$dir/index.md" ]; then
@@ -39,7 +39,13 @@ done
 
 # Convert svg to pdf.
 for f in $MD/img/*svg; do
-	rsvg-convert -f pdf -o "${f%%.*}.pdf" $f
+	rsvg-convert -f pdf -z 0.80 -o "${f%%.*}.pdf" $f
+	rm $f
+done
+
+# Convert matplotlib-generated svg to pdf.
+for f in $MD/*_files/*svg; do
+	rsvg-convert -f pdf -z 0.80 -o "${f%%.*}.pdf" $f
 	rm $f
 done
 

chapter_deep-learning-basics/linear-regression-scratch.md

@@ -40,7 +40,7 @@ features[0], labels[0]
 
 ```{.python .input  n=4}
 def set_figsize(figsize=(3.5, 2.5)):
-    set_matplotlib_formats('retina')  # 打印高清图。
+    set_matplotlib_formats('svg')  # 打印矢量图。
     plt.rcParams['figure.figsize'] = figsize  # 设置图的尺寸。
 
 set_figsize()

chapter_deep-learning-basics/mlp.md

@@ -52,7 +52,7 @@ import gluonbook as gb
 from mxnet import nd
 
 def xyplot(x_vals, y_vals, x_label, y_label):
-    %config InlineBackend.figure_format = 'retina'
+    %config InlineBackend.figure_format = 'svg'
     gb.plt.rcParams['figure.figsize'] = (3.5, 2.5)
     gb.plt.plot(x_vals,y_vals)
     gb.plt.xlabel(x_label)

chapter_deep-learning-basics/weight-decay.md

@@ -97,7 +97,7 @@ train_iter = gdata.DataLoader(gdata.ArrayDataset(
 
 net = gb.linreg
 loss = gb.squared_loss
-%config InlineBackend.figure_format = 'retina'
+%config InlineBackend.figure_format = 'svg'
 gb.plt.rcParams['figure.figsize'] = (3.5, 2.5)
 
 def fit_and_plot(lambd):

chapter_optimization/optimization-intro.md

@@ -48,8 +48,6 @@ def f(x):
     return x * np.cos(np.pi * x)
 
 gb.set_figsize((4.5, 2.5))
-gb.set_matplotlib_formats('svg')
-
 x = np.arange(-1.0, 2.0, 0.1)
 fig = gb.plt.figure()
 subplt = fig.add_subplot(111)

gluonbook/utils.py

@@ -320,7 +320,7 @@ def semilogy(x_vals, y_vals, x_label, y_label, x2_vals=None, y2_vals=None,
 
 def set_figsize(figsize=(3.5, 2.5)):
     """Set matplotlib figure size."""
-    set_matplotlib_formats('retina')
+    set_matplotlib_formats('svg')
     plt.rcParams['figure.figsize'] = figsize