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from operator import itemgetter | |
from PIL import Image, ImageDraw, ImageFont | |
from matplotlib import font_manager | |
from multiprocessing import Pool | |
import numpy as np | |
import os.path | |
# Make a lowercase + uppercase alphabet. | |
alphabet = 'abcdefghijklmnopqrstuvwxyz' | |
alphabet += str.upper(alphabet) | |
size = (100, 100) | |
def draw_letter(letter, font): | |
img = Image.new('RGB', size, 'white') | |
draw = ImageDraw.Draw(img) | |
draw.text((0,0), letter, font=font, fill='#000000') | |
return img | |
def count_font_width(img): | |
letter_img = np.array(img.getdata()).reshape(size[0], size[1], 3).mean(axis=2) | |
black_pixels_in_one_dimension = np.where(letter_img.min(axis=0) == 0)[0] | |
return black_pixels_in_one_dimension[-1] - black_pixels_in_one_dimension[0] | |
def get_counts_for_font(font_path): | |
try: | |
name = os.path.basename(font_path) | |
font_img = ImageFont.truetype(font_path, size[0]) | |
counts = [ | |
count_font_width(draw_letter(letter, font_img)) | |
for letter in alphabet | |
] | |
except: | |
return None | |
return counts | |
if __name__ == '__main__': | |
p = Pool(processes=8) | |
fonts = font_manager.OSXInstalledFonts() | |
all_counts = np.array(filter(None, p.map(get_counts_for_font, fonts))) | |
mean_count = all_counts.mean(axis=0) | |
std_count = all_counts.std(axis=0) | |
results = sorted( | |
zip(alphabet, mean_count, std_count), | |
key=itemgetter(1), | |
reverse=True | |
) | |
for res in results: | |
print '%s: %.2f +/- %.2f' % res |
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W: 80.27 +/- 17.01 | |
M: 73.69 +/- 16.38 | |
m: 67.25 +/- 13.86 | |
w: 64.17 +/- 13.67 | |
N: 62.43 +/- 14.01 | |
H: 62.11 +/- 14.86 | |
Q: 61.55 +/- 12.73 | |
X: 60.28 +/- 11.60 | |
K: 59.78 +/- 12.86 | |
V: 59.62 +/- 11.31 | |
A: 59.53 +/- 11.11 | |
U: 59.28 +/- 12.45 | |
D: 58.58 +/- 12.13 | |
O: 58.53 +/- 11.16 | |
G: 58.32 +/- 11.72 | |
Y: 57.40 +/- 11.41 | |
R: 55.60 +/- 11.29 | |
T: 54.65 +/- 11.41 | |
C: 54.42 +/- 10.42 | |
Z: 53.47 +/- 10.91 | |
B: 51.44 +/- 10.42 | |
E: 50.95 +/- 11.57 | |
P: 50.17 +/- 10.59 | |
F: 49.09 +/- 11.91 | |
L: 47.19 +/- 11.31 | |
d: 47.00 +/- 10.28 | |
y: 45.63 +/- 9.83 | |
S: 45.48 +/- 11.01 | |
k: 45.38 +/- 10.27 | |
h: 45.34 +/- 10.30 | |
n: 45.33 +/- 10.41 | |
x: 45.26 +/- 9.40 | |
p: 45.12 +/- 9.24 | |
g: 45.05 +/- 9.71 | |
v: 45.00 +/- 10.30 | |
u: 44.97 +/- 10.08 | |
q: 44.58 +/- 10.55 | |
b: 44.07 +/- 9.47 | |
o: 42.57 +/- 10.38 | |
a: 42.24 +/- 10.21 | |
J: 40.32 +/- 12.88 | |
z: 40.20 +/- 9.56 | |
e: 39.32 +/- 10.29 | |
c: 38.44 +/- 10.58 | |
f: 36.73 +/- 10.47 | |
s: 35.24 +/- 10.79 | |
r: 34.80 +/- 11.71 | |
t: 31.13 +/- 11.41 | |
I: 28.05 +/- 15.45 | |
l: 23.10 +/- 13.41 | |
j: 22.32 +/- 11.80 | |
i: 21.78 +/- 12.89 |
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