walkermatt

import json
import lxml
from lxml import objectify

class ObjectifyJSONEncoder(json.JSONEncoder):
    """ JSON encoder that can handle simple lxml objectify types,
        based on the original: https://gist.github.com/aisipos/345559, extended
        to accommodate encoding child nodes with the same tag name as a list.

        Usage:

walkermatt

// Bounding box of our TMS that define our area of interest
var bbox = [-600000, -300000, 1300000, 1600000];

// Resolutions of our TMS that the tiles will be displayed at calculated so
// that at resolution 0 the bounds fit one 256x256 tile: (maxx - minx)/256
var res = [7421.875, 3710.9375, 1855.46875, 927.734375];

// Define the Proj4Leaflet coordinate reference system base on British National Grid
var crs = L.CRS.proj4js(
    'EPSG:27700',

walkermatt

import itertools
import qgis
from qgis.gui import QgsMessageBar
from qgis.core import QgsMapLayer


def layer_info(layer):
    print "Layer name: %s" % layer.name()
    print "CRS: %s" % layer.crs().authid()
    print "Extent: %s" % layer.extent().asWktCoordinates()

walkermatt

# Just the selected features
layer = iface.activeLayer()
for feature in layer.selectedFeatures():
    print feature['name']

# Filter by current extent of the map 
extent = iface.mapCanvas().extent()
request = QgsFeatureRequest()
request.setFilterRect(extent)
layer = iface.activeLayer()

walkermatt

Python psycopg2 & PostGIS

Load some data into the database

From the OSGeo4W Shell

ogr2ogr -f PostgreSQL PG:"dbname=postgis host=localhost user=postgres password=postgres" -a_srs "EPSG:27700" county_region.shp -nlt MULTIPOLYGON

Use psycopg2 in the Python Interpreter

walkermatt

;; fizzbuzz without conditionals in Clojure

; Simple patten matching using a single map lookup
(defn fizzbuzz [x]
  (let [v [(= (mod x 3) 0) (= (mod x 5) 0)]]
    ({[true false] "fizz"
      [false true] "buzz"
      [true true] "fizzbuzz"
      [false false] x} v)))

walkermatt

""" Minimal MapProxy Middleware demonstrating wrapping MapProxy and working
    with the query string

To run:
  1. Install MapProxy in a virtual enviroment together with Gunicorn
  2. Create a basic MapProxy config and copy this file into the same directory as mapproxy.yaml
  2. Activate virtual environment
  3. Change to the directory containing this file
  4. Run:
      gunicorn -k eventlet --workers=1 --log-file=- mapproxy_filter:application

walkermatt

// OpenLayers. See https://openlayers.org/
// License: https://raw.githubusercontent.com/openlayers/openlayers/master/LICENSE.md
// Version: v4.5.0-70-gfca0b07
;(function (root, factory) {
  if (typeof exports === "object") {
    module.exports = factory();
  } else if (typeof define === "function" && define.amd) {
    define([], factory);
  } else {
    root.ol = factory();

walkermatt

var R = require('ramda');

var states = [
    {symbol: 'CT', name: 'Connecticut', pop: 3574097},
    {symbol: 'ME', name: 'Maine', pop: 1328361},
    {symbol: 'MA', name: 'Massachusetts', pop: 6547629},
    {symbol: 'NH', name: 'New Hampshire', pop: 1316470},
    {symbol: 'RI', name: 'Rhode Island', pop: 1052567},
    {symbol: 'VT', name: 'Vermont', pop: 623741},
];

walkermatt

function escapeAsCsv(str) {
    // Double up double quotes and quote the entire string if necessary
    if (str.includes(',') || str.includes('\n') || str.includes('"')) {
        return '"' + str.replace(/"/g, '""') + '"';
    }
    return str;
}

// Export Confluence table as CSV
// Select the tbody element in Chrome devtools Elements panel then run the