L-Lewis

import geopandas as gpd

# Importing the London borough boundary GeoJSON file as a dataframe in geopandas
map_df = gpd.read_file('data/neighbourhoods.geojson')

# Creating a dataframe of listing counts and median price by borough
borough_df = pd.DataFrame(df.groupby('borough').size())
borough_df.rename(columns={0: 'number_of_listings'}, inplace=True)
borough_df['median_price'] = df.groupby('borough').price.median().values

L-Lewis

amenities_list = list(df.amenities)
amenities_list_string = " ".join(amenities_list)
amenities_list_string = amenities_list_string.replace('{', '')
amenities_list_string = amenities_list_string.replace('}', ',')
amenities_list_string = amenities_list_string.replace('"', '')
amenities_set = [x.strip() for x in amenities_list_string.split(',')]
amenities_set = set(amenities_set)
amenities_set