deparkes

# -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
import math

# Some functions to later apply to our columns
def dcos(theta):
    theta = theta*(math.pi/180)
    return math.cos(theta)
    

deparkes

# -*- 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")]

deparkes

# -*- coding: utf-8 -*-
"""
Created on Tue Apr 28 11:58:10 2015

@author: Duncan Parkes
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

deparkes

#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

deparkes

# -*- 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

deparkes

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")

deparkes

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

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

\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}}}