ben-n93

import pandas as pd
import geojson

with open("data/input.csv", 'wb') as f:
            f.write(response.content)

# Create GeoJSON file.
df = pd.read_csv('data/input.csv',
    skiprows=4,
    dtype={

ben-n93

import pandas as pd 

df = pd.read_csv("./data/horror_films.csv")
df.drop_duplicates(inplace=True)
table = pd.pivot_table(data=df,index='Setting', values='Film', aggfunc='count')
table.to_csv("./data/cleaned_horror_films.csv")

ben-n93

import folium
import pandas as pd

# Cleaning the data.
df = pd.read_csv("../data/horror_films.csv")
df.drop_duplicates(inplace=True)
table = pd.pivot_table(data=df,index='Setting', values='Film', aggfunc='count')
table.to_csv("../data/cleaned_horror_films.csv")

# Creating the map.

ben-n93

colours = ['red', 'green', ['cobalt', 'teal', 'blue']]
colours_copy = copy.deepcopy(colours)
colours[2].append('sky')
colours_copy

ben-n93

colours = ['red', 'green', ['cobalt', 'teal', 'blue']]
colours_copy = colours[:]
colours[2].append('sky')
colours_copy

ben-n93

import copy

# Using slice syntax
car_brands = ['Toyota', 'Ford', 'Honda']
car_brands_copy = car_brands[:]

# Using the copy module
car_brands = ['Toyota', 'Ford', 'Honda']
car_brands_copy = copy.copy(watch_brands)

ben-n93

import os

os.remove('example.txt')

ben-n93

# Writing results to CSV file.
with open("data/horror_films.csv", "w") as file_object:
    writer = csv.DictWriter(file_object, fieldnames=["Film", "Year released",
    "Setting"])
    writer.writeheader()
    for film in horror_films_with_states:
        for location in film.setting:
            writer.writerow(
            {
                "Film": film.title,

ben-n93

# Check to see which horror films are set in which US states.
horror_films_with_states = []
for film in states_films:
    if film in horror_films and film.year_released is None:
        film.year_released = horror_films[horror_films.index(film)].year_released
        horror_films_with_states.append(film)
    elif film in horror_films and film.year_released is not None:
        horror_films_with_states.append(film)

ben-n93

class Film:
    def __init__(self, title, year_released=None, setting=None):
        self.title = title
        self.year_released = year_released
        self.setting = {setting}