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deparkes / uk_universities_locations.csv
Created May 15, 2016 10:19
UK University Locations
Name lat lon
The University of Aberdeen 57.165019 -2.099122
University of Abertay Dundee 56.46334 -2.973441
Aberystwyth University 52.403473 -4.043584
Anglia Ruskin University 51.741381 0.474495
Aston University 52.486637 -1.890952
Bangor University 53.229193 -4.129437
Bath Spa University 51.373209 -2.440912
The University of Bath 51.380441 -2.330673
University of Bedfordshire 51.87825 -0.411539
import gpxpy
import gpxpy.gpx
import folium
gpx_file = open('path_to_gpx_file.gpx', 'r')
gpx = gpxpy.parse(gpx_file)
points = []
for track in gpx.tracks:
for segment in track.segments:
@deparkes
deparkes / baudot.py
Created July 23, 2021 19:29
Simple exploration of the Lorentz cipher concept using Python - see also https://wp.me/p4DE9r-1mc
# Baudot
import random
import string
# Taken from https://www.cryptomuseum.com/ref/ita2/index.htm
baudot = { 'a': '0b00011',
'b': '0b11001',
'c': '0b01110',
'd': '0b01001',
'e': '0b00001',
@deparkes
deparkes / latex_publications.tex
Created May 30, 2016 13:57
A sample file for creating a publications list in a thesis or dissertation, separate fromt the references list.
\documentclass{article}
\usepackage{natbib}
\usepackage{bibunits}
\begin{document}
% bibunit to list our publications
\begin{bibunit}[plain]
\renewcommand{\bibsection}{\large \textbf{\begin{center}
Publications
\end{center}}}
@deparkes
deparkes / radial_field_example.mif
Created April 22, 2017 09:32
Example of defining a field with polar coordinates in OOMMF mif file
# MIF 2.1
# MIF Example File: ellipsoid.mif
# Description: Hysteresis loop of an ellipsoidal particle.
# This example uses an Oxs_EllipsoidAtlas to define the
# ellipsoid volume. This example is exactly equivalent
# to ellipsoid-atlasproc.mif and ellipsoid-fieldproc.mif.
set pi [expr {4*atan(1.0)}]
set mu0 [expr {4*$pi*1e-7}]
set theta 270
@deparkes
deparkes / folium_lines_and_markers.py
Last active February 27, 2019 20:46
Example of combining lines and markers
import folium
points_a = [[1,50], [1.2,50.3], [1.23, 50.7]]
points_z = [[1,51], [1.2,51.3], [1.23, 51.7]]
# Load map centred on average coordinates
ave_lat = sum(p[0] for p in points_a)/len(points_a)
ave_lon = sum(p[1] for p in points_a)/len(points_a)
my_map = folium.Map(location=[ave_lat, ave_lon], zoom_start=9)
@deparkes
deparkes / pizza-price-comparison.py
Last active December 6, 2016 20:20
Pandas plotting of pizza price comparison
# -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
import itertools
# Load data
prices = pd.read_csv("PizzaPrices.csv")
# Filter out an unwanted establishment
prices = prices[(prices['establishment_name'] != "Pizza Zone")]
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 20 11:41:59 2015
Find out from which years you cited most publications in your thesis or
dissertation.
https://xkcd.com/208/
May need to somehow account for 'missing' years
http://pandas.pydata.org/pandas-docs/stable/missing_data.html
import gpxpy
import gpxpy.gpx
import folium
gpx_file = open('my_gpx_coords.gpx', 'r')
gpx = gpxpy.parse(gpx_file)
points = []
for track in gpx.tracks:
for segment in track.segments:
@deparkes
deparkes / colch_toilets.py
Created April 18, 2016 17:25
Code to generate an interactive map of Colchester public toilets
import os
import folium
import pandas as pd
from bng_to_latlon import OSGB36toWGS84
os.chdir("C:\Users\Duncan\Documents\Python Scripts\pythonGIS")
# Load map centred on Colchester
uk = folium.Map(location=[51.8860942,0.8336077], zoom_start=10)
# Load locally stored colchester public toilets data
toilets = pd.read_csv("public-toilets.csv")