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import matplotlib.pyplot as plt
from matplotlib.collections import PatchCollection
from descartes import PolygonPatch
import fiona
from shapely.geometry import Polygon, MultiPolygon, shape

# We can extract the London Borough boundaries by filtering on the AREA_CODE key
mp = MultiPolygon(
    [shape(pol['geometry']) for pol in fiona.open('data/boroughs/boroughs.shp')
    if pol['properties']['AREA_CODE'] == 'LBO'])

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""" 
required packages:
numpy
matplotlib
basemap: http://matplotlib.org/basemap/users/installing.html
shapely: https://pypi.python.org/pypi/Shapely
descartes: https://pypi.python.org/pypi/descartes
random

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
excel_things.py

Created by Stephan Hügel on 2011-05-07

Read XLS or CSV files, and return contents as unicode strings in nested lists
One row per list item, one column per nested list item:
[[u'foo', u'bar'], [u'baz', u'abc123'], … ]

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import math

def bng(input_lat, input_lon):
    """
    Convert WGS84 lat and long (ie. from GPS) to OSGB36 (BNG)
    Expects two floats as input
    Returns a tuple of Easting, Northing floats
    Accurate to ~5m

    For testing purposes:

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 # -*- coding: utf-8 -*-
 
# Requires PIL (pillow) and NumPy
# Copyright (C) Stephan Hügel, 2016
# License: MIT

import sys
from PIL import Image
import numpy as np

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import pandas as pd
import numpy as np
from pysal.esda.mapclassify import Natural_Breaks as nb

df = pd.DataFrame({'density': np.random.randint(0, 10, 500)})
# replace zero values with NaN
df.replace(to_replace={'density': {0: np.nan}}, inplace=True)

breaks = nb(df[df['density'].notnull()].density.values, k=5)
# this index will allow us to perform the join correctly

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// Given a string, how do you determine whether it's an anagram of a palindrome?
// Solution: Given the unique set of chars, at most 1 should appear in the string
// an odd number of times.
// chars() returns Unicode Scalar Values, and these might not match up
// with grapheme clusters, so this can't be assumed to work correctly
// for anything other than (extended) ASCII

fn unique_chars(s: &str) -> String {
    let mut v: Vec<char> = s.chars().collect();
    // dedup removes consecutive identical elements, so we need a sort first

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#!/usr/bin/env python

# needs Pandas, Geopandas, Shapely. Should work on 2.7.x and 3.6.x
# this will only dump properties that are open or partially open today
# this can be adjusted by commenting out or altering the values given to isin()

from datetime import date
import geopandas as gp
import pandas as pd
from shapely.geometry import Point, LineString, Polygon, MultiPolygon, MultiPoint, box

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#!/bin/bash
# original: http://julianoliver.com/output/log_2014-05-30_20-52
# GLASSHOLE.SH
#
# Find and kick Google Glass devices from your local wireless network.  Requires
# 'beep', 'arp-scan', 'aircrack-ng' and a GNU/Linux host.  Put on a BeagleBone
# black or Raspberry Pi. Plug in a good USB wireless NIC (like the TL-WN722N)
# and wear it, hide it in your workplace or your exhibition.
#
# Save as glasshole.sh, 'chmod +x glasshole.sh' and exec as follows: