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#!/usr/bin/env python
"""
Generates the Matplotlib icon, and the toolbar icon images from the FontAwesome
font.
Generates SVG, PDF in one size (since they are vectors), and PNG in 24x24 and
48x48.
"""
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from io import BytesIO
from pathlib import Path
import tarfile
import urllib.request
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
plt.rcdefaults()
plt.rcParams['svg.fonttype'] = 'path'
plt.rcParams['pdf.fonttype'] = 3
plt.rcParams['pdf.compression'] = 9
def get_fontawesome():
cached_path = Path(mpl.get_cachedir(), "FontAwesome.otf")
if not cached_path.exists():
with urllib.request.urlopen(
"https://github.com/FortAwesome/Font-Awesome"
"/archive/v4.7.0.tar.gz") as req, \
tarfile.open(fileobj=BytesIO(req.read()), mode="r:gz") as tf:
cached_path.write_bytes(tf.extractfile(tf.getmember(
"Font-Awesome-4.7.0/fonts/FontAwesome.otf")).read())
return cached_path
def save_icon(fig, dest_dir, name, add_black_fg_color):
if add_black_fg_color:
# Add explicit black foreground color to monochromatic svg icons
# so it can be replaced by backends to add dark theme support
svg_bytes_io = BytesIO()
fig.savefig(svg_bytes_io, format='svg')
svg = svg_bytes_io.getvalue()
before, sep, after = svg.rpartition(b'\nz\n"')
svg = before + sep + b' style="fill:black;"' + after
(dest_dir / (name + '.svg')).write_bytes(svg)
else:
fig.savefig(dest_dir / (name + '.svg'))
fig.savefig(dest_dir / (name + '.pdf'))
for dpi, suffix in [(24, ''), (48, '_large')]:
fig.savefig(dest_dir / (name + suffix + '.png'), dpi=dpi)
def make_icon(font_path, ccode):
fig = plt.figure(figsize=(1, 1))
fig.patch.set_alpha(0.0)
fig.text(0.5, 0.48, chr(ccode), ha='center', va='center',
font=font_path, fontsize=68)
return fig
def make_matplotlib_icon():
fig = plt.figure(figsize=(1, 1))
fig.patch.set_alpha(0.0)
ax = fig.add_axes([0.025, 0.025, 0.95, 0.95], projection='polar')
ax.set_axisbelow(True)
N = 7
arc = 2 * np.pi
theta = np.arange(0, arc, arc / N)
radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
bars = ax.bar(theta, radii, width=width, bottom=0.0, linewidth=1,
edgecolor='k')
for r, bar in zip(radii, bars):
bar.set_facecolor(mpl.cm.jet(r / 10))
ax.tick_params(labelleft=False, labelright=False,
labelbottom=False, labeltop=False)
ax.grid(lw=0.0)
ax.set_yticks(np.arange(1, 9, 2))
ax.set_rmax(9)
return fig
icon_defs = [
('home', 0xf015),
('back', 0xf060),
('forward', 0xf061),
('zoom_to_rect', 0xf002),
('move', 0xf047),
('filesave', 0xf0c7),
('subplots', 0xf1de),
('qt4_editor_options', 0xf201),
('help', 0xf128),
]
def make_icons():
parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument(
"-d", "--dest-dir",
type=Path,
default=Path(__file__).parent / "../lib/matplotlib/mpl-data/images",
help="Directory where to store the images.")
args = parser.parse_args()
font_path = get_fontawesome()
for name, ccode in icon_defs:
fig = make_icon(font_path, ccode)
save_icon(fig, args.dest_dir, name, True)
fig = make_matplotlib_icon()
save_icon(fig, args.dest_dir, 'matplotlib', False)
if __name__ == "__main__":
make_icons()
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