drafts

I guess this is a coreText thing. When composing the same text with hard returns and soft returns (shift + enter) in TextEdit, there is no difference between soft and hard returns.

I guess you'll need to script it and change the the bottom spacing for text-runs with soft returns.

thanks for the issue

--> https://github.com/typemytype/drawbot/issues/495

can you provide the not working google fonts?

and if this is persisting, it would be handy to open an issue in the drawBot repo.

thanks!

DrawBot is mac only... that will not change fast as we got now a super high level of typographic support...

However Just started drawBotSkia which has a subset of the DrawBot api but uses skia as backend.

see https://github.com/justvanrossum/drawbot-skia

you can always ignore all warnings with:

import warnings
warnings.simplefilter("ignore")

see https://docs.python.org/3.7/library/warnings.html

which warning?

the mistake here is that bounds are not structured as x, y, width, height as required for rect(...)but as minx, miny, maxx, maxy.

minx, miny, maxx, maxy = path.bounds()
rect(minx, miny, maxx-minx, maxy-miny)

no, you can not.. but DrawBot exists also as a module where you can use your own python.

see https://github.com/typemytype/drawbot#using-drawbot-as-a-python-module

its all the same and very much based on coding flavours

different approach, similar result, here you know the amount of lines exactly.

import random

size(600, 849)

margin = 106
density = [3,2,7,20, 1002] # the amount of lines
rows = len(density)
row_width = width() - 2 * margin
row_height = (height() - 2 * margin) / rows

fill(None)
strokeWidth(1)
stroke(0)

for i, d in enumerate(density):
    y1 = margin + i * row_height
    y2 = y1 + row_height
    x_positions = [random.random() * row_width for _ in range(d)]
    for x in x_positions:
        line((x, y1),(x, y2))

thanks @monomonnik! very well explained!

the while loop at the end makes its maybe a bit unreadable...

you can use random.sample to generate a random list easily:

import random

density = 5
result = random.sample(range(0, 100), density)
print(result)