GeoPatterns
Generate beautiful SVG patterns from a string. This is a Python-port of Jason Long's Ruby library.
Installation
GeoPatterns is installable via pip:
$ pip install geopatternsUsage
Create a new pattern by initializing GeoPattern() with a string and a
generator (the result of this string/generator pair is the above image).
>>> from geopatterns import GeoPattern
>>> pattern = GeoPattern('A string for your consideration.', generator='xes')Currently available generators are:
hexagonsoverlapping_circlesoverlapping_ringsplaidplus_signsringssinewavessquarestrianglesxes
Get the SVG string:
>>> print(pattern.svg_string)
u'<svg xmlns="http://www.w3.org/2000/svg" ...Get the Base64-encoded string:
>>> print(pattern.base64_string)
'PHN2ZyB4bWxucz0iaHR0cDov...In the case of the Base64-encoded string, you can use it in CSS as follows:
body {
background-image: url('data:image/svg+xml;base64,PHN2ZyB4bWxucz...zdmc+');
}You can use cairosvg to save the SVG string as a PNG image. First, install cairosvg:
pip install cairosvg
And then run:
>>> import cairosvg
>>> from geopatterns import GeoPattern
>>> pattern = GeoPattern('A string for your consideration.', generator='xes')
>>> cairosvg.svg2png(bytestring=pattern.svg_string, write_to="output.png")If you just want to visualize the pattern, you can use cairosvg with PIL:
>>> import matplotlib.pyplot as plt
>>> from PIL import Image
>>> import cairosvg
>>> from geopatterns import GeoPattern
>>> pattern = GeoPattern('A string for your consideration.', generator='xes')
>>> png = cairosvg.svg2png(bytestring=pattern.svg_string)
>>> image = Image.open(BytesIO(png))
>>> plt.imshow(image)
>>> plt.show()