Find nearest film scene location in NYC




Pay Notebook Creator: Eva Wang11
Set Container: Numerical CPU with TINY Memory for 10 Minutes 0
Total0
In [5]:
#
import pandas as pd
t = pd.read_csv('Interactive_Map_Data.csv', encoding='latin-1', skiprows=1)
Out[5]:
array(['*batteries not included', '12 Angry Men', '13 Going on 30',
       '15 Minutes', '25th Hour'], dtype=object)
In [8]:
t['Film'].unique()[:5]
movie_names = t['Film'].unique()
In [9]:
open('movies.txt', 'wt').write('\n'.join(movie_names))
Out[9]:
2808
Notebook Creator Notebook Created Notebook Modified Notebook Contents