sgillies

from math import sqrt

from matplotlib import pyplot
from shapely.geometry import *

GM = (sqrt(5)-1.0)/2.0
W = 8.0
H = W*GM
SIZE = (W, H)
COLORS = ['#6699cc', '#ffcc33']

sgillies

Here's an attempt to log coverage.

commit 73344c76b2c34beb066ffe22548cf56a0d064e47
Author: sgillies <[email protected]>
Date:   Thu Sep 9 14:01:39 2010 -0600

$ coverage -e
$ coverage -x setup.py test
$ coverage -r shapely/*.py shapely/geometry/*.py
Name                               Stmts   Exec  Cover

sgillies

sgillies

  >>> name = 'ⲙⲛⲧⲣⲙⲛⲕⲏⲙⲉ'.decode('utf-8')
  >>> transliterate_name('cop', name)
  'mntrmnkeme'

sgillies

(gispy-lab)krusty-2:Shapely-1.2 seang$ python speedups-benchmark.py 

N=10
======
Without speedups
74.75 usec/pass

With speedups
19.80 usec/pass

sgillies

# pipelinedemo.py
# Data processing pipeline demo

from json import dumps
import logging

def coroutine(func):
    """Used as a decorator, advances a generator to active it"""
    def start(*args,**kwargs): 
        cr = func(*args,**kwargs) 

sgillies

================================
The GeoJSON Format Specification
================================

:Abstract: 
  GeoJSON is a geospatial data interchange format based on JavaScript Object
  Notation (JSON).

:Authors:
  Howard Butler (Hobu Inc.),

sgillies

class RelatedFlickrJson(BrowserView):

    """Makes two Flickr API calls and writes the number of related
    photos and URLs for the most viewed related photo from the Pleiades
    Places group to JSON like

    {"portrait": {
       "url": "http://flickr.com/photos/27621672@N04/3734425631/in/pool-1876758@N22", 
       "img": "http://farm3.staticflickr.com/2474/3734425631_b15979f2cd_m.jpg", 
       "title": "Pont d'Ambroix by sgillies" }, 

sgillies

sgillies

Fiona==0.8
Pyproj==1.9.0
Shapely==1.2.14