Hi,
I got the same error even after adding that.
#########################
Traceback (most recent call last):
  File "import.py", line 30, in <module>
    main()
  File "import.py", line 22, in main
    year = int(row[1])
IndexError: list index out of range
Thanks,
Cravan
On 13/6/19, 8:53 PM, "Simon King" <sqlalchemy@googlegroups.com on behalf of 
si...@simonking.org.uk> wrote:

    You have an empty row in your CSV file (maybe a blank line at the end?).
    
    Try adding this at the beginning of your loop:
    
        if not row:
            continue
    
    On Thu, Jun 13, 2019 at 1:26 PM Cravan <cravan...@gmail.com> wrote:
    >
    > Thanks Simon, I got a new error this time:
    > #####################
    > Traceback (most recent call last):
    >   File "import.py", line 28, in <module>
    >     main()
    >   File "import.py", line 20, in main
    >     year = int(row[1])
    > IndexError: list index out of range
    >
    > Thanks,
    > Cravan
    >
    > On 13/6/19, 8:19 PM, "Simon King" <sqlalchemy@googlegroups.com on behalf 
of si...@simonking.org.uk> wrote:
    >
    >     It's worth pointing out that your first and last errors are database
    >     errors from postgresql, whereas the middle syntax error was a Python
    >     error.
    >
    >     In Python, single and double-quotes are interchangeable, and you can
    >     use whichever is more convenient for you. This is not true for
    >     postgresql. In PG, single quotes are used for strings, and
    >     double-quotes are used for identifiers that you want to be treated
    >     literally (eg. because they contain characters that aren't normally
    >     allowed in identifiers, or because you want them to be
    >     case-sensitive).
    >
    >     So in this case, you need imdbID and imdbRating to be surrounded by
    >     double-quotes because you want them to be handled as case-sensitive.
    >     The easiest thing to do is to change the quotes around the whole SQL
    >     statement to be single quotes.
    >
    >     ie.
    >
    >     sqlalchemy.text('INSERT INTO movies(title, year, runtime, "imdbID",
    >     "imdbRating") VALUES(...)')
    >
    >     Simon
    >
    >     On Thu, Jun 13, 2019 at 12:40 PM Cravan <cravan...@gmail.com> wrote:
    >     >
    >     > Alright, thanks because I created my sql column names with imdbID, 
which contains caps.
    >     > However, after changing it to single-quotes, I got a syntax error.
    >     > ###################################
    >     > Traceback (most recent call last):
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 1244, in 
_execute_conte
    >     > xt
    >     >     cursor, statement, parameters, context
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/default.py", line 550, in 
do_execute
    >     >     cursor.execute(statement, parameters)
    >     > psycopg2.errors.SyntaxError: syntax error at or near "'imdbID'"
    >     > LINE 1: INSERT INTO movies(title, year, runtime, 'imdbID', 
'imdbRati...
    >     >                                                  ^
    >     >
    >     >
    >     > The above exception was the direct cause of the following exception:
    >     > Traceback (most recent call last):
    >     >   File "import.py", line 28, in <module>
    >     >     main()
    >     >   File "import.py", line 25, in main
    >     >     engine.execute(insert_statement, title=title, year=year, 
runtime=ru
    >     > ntime, imdbID=imdbID, imdbRating=imdbRating)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 2166, in execute
    >     >     return connection.execute(statement, *multiparams, **params)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 988, in execute
    >     >     return meth(self, multiparams, params)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/sql/elements.py", line 287, in 
_execute_on_co
    >     > nnection
    >     > return connection._execute_clauseelement(self, multiparams, params)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 1107, in 
_execute_claus
    >     > eelement
    >     >     distilled_params,
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 1248, in 
_execute_conte
    >     > xt
    >     >     e, statement, parameters, cursor, context
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 1466, in 
_handle_dbapi_
    >     > exception
    >     >     util.raise_from_cause(sqlalchemy_exception, exc_info)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/util/compat.py", line 383, in 
raise_from_caus
    >     > e
    >     >     reraise(type(exception), exception, tb=exc_tb, cause=cause)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/util/compat.py", line 128, in reraise
    >     >     raise value.with_traceback(tb)
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/base.py", line 1244, in 
_execute_conte
    >     > xt
    >     >     cursor, statement, parameters, context
    >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7
    >     > /site-packages/sqlalchemy/engine/default.py", line 550, in 
do_execute
    >     >     cursor.execute(statement, parameters)
    >     > sqlalchemy.exc.ProgrammingError: (psycopg2.errors.SyntaxError) 
syntax e
    >     > rror at or near "'imdbID'"
    >     > LINE 1: INSERT INTO movies(title, year, runtime, 'imdbID', 
'imdbRati...
    >     > [SQL: INSERT INTO movies(title, year, runtime, 'imdbID', 
'imdbRating')
    >     > VALUES (%(title)s, %(year)s, %(runtime)s, %(imdbID)s, 
%(imdbRating)s)]
    >     > [parameters: {'title': 'The Lego Movie', 'year': 2014, 'runtime': 
100,
    >     > 'imdbID': 'tt1490017', 'imdbRating': 7.8}]
    >     > (Background on this error at: http://sqlalche.me/e/f405)
    >     > Thanks,
    >     > Cravan
    >     >
    >     >
    >     >
    >     > On 13/6/19, 7:36 PM, "Simon King" <sqlalchemy@googlegroups.com on 
behalf of si...@simonking.org.uk> wrote:
    >     >
    >     >     You've got double-quotes around "imdbID" and "imdbRating" on 
that
    >     >     line, and double-quotes around the SQL statement, which is a 
syntax
    >     >     error. I think you should be able to just remove the quotes 
around the
    >     >     column names, but if you really need them for some reason, 
replace the
    >     >     outer double-quotes with single-quotes.
    >     >
    >     >     Simon
    >     >
    >     >     On Thu, Jun 13, 2019 at 12:20 PM Cravan <cravan...@gmail.com> 
wrote:
    >     >     >
    >     >     > I got a new error after using Simon's suggestion, would 
someone help me?
    >     >     > ######################################
    >     >     > File "import.py", line 24
    >     >     >     insert_statement = sqlalchemy.text("INSERT INTO 
movies(title, year,
    >     >     >  runtime, "imdbID", "imdbRating") VALUES (:title, :year, 
:runtime, :imd
    >     >     > bID, :imdbRating)")
    >     >     >
    >     >     >                 ^
    >     >     > SyntaxError: invalid syntax
    >     >     > Thanks,
    >     >     > Cravan
    >     >     > On 13/6/19, 7:10 PM, "Simon King" 
<sqlalchemy@googlegroups.com on behalf of si...@simonking.org.uk> wrote:
    >     >     >
    >     >     >     Your "engine.execute" statement looks wrong to me:
    >     >     >
    >     >     >              engine.execute('INSERT INTO
    >     >     >     movies("title","year","runtime","imdbID","imdbRating") 
VALUES
    >     >     >     ((title), (year), (runtime), (imdbID), (imdbRating))',
    >     >     >              {"title": title, "year": year, "runtime": 
runtime, "imdbID":
    >     >     >     imdbID, "imdbRating": imdbRating })
    >     >     >
    >     >     >     In particular, the VALUES clause is wrong. That's not the 
way that you
    >     >     >     specify parameters when executing a parametrized query, 
so the
    >     >     >     database is interpreting "(title)" as a reference to a 
column, rather
    >     >     >     than a reference to a parameter.
    >     >     >
    >     >     >     You're probably best off using SQLAlchemy's text() 
construct:
    >     >     >
    >     >     >     
https://docs.sqlalchemy.org/en/13/core/tutorial.html#using-textual-sql
    >     >     >
    >     >     >     You would put this outside the loop:
    >     >     >
    >     >     >     insert_statement = sqlalchemy.text(
    >     >     >         "INSERT INTO movies(title, year, runtime, imdbID, 
imdbRating)
    >     >     >     VALUES (:title, :year, :runtime, :imdbID, :imdbRating)"
    >     >     >     )
    >     >     >
    >     >     >     and then inside the loop you would use:
    >     >     >
    >     >     >     engine.execute(insert_statement, title=title, year=year,
    >     >     >     runtime=runtime, imdbID=imdbID, imdbRating=imdbRating)
    >     >     >
    >     >     >     Also, I suspect (but haven't verified) that 
"engine.execute()" will
    >     >     >     check out a connection from the pool, run the statement, 
and commit a
    >     >     >     transaction. If you want to import all the rows in a 
single
    >     >     >     transaction, you should probably explicitly create a 
connection at the
    >     >     >     beginning, use "connection.execute()" to run your SQL, 
and commit it
    >     >     >     at the end. See
    >     >     >     
https://docs.sqlalchemy.org/en/13/core/connections.html#using-transactions
    >     >     >     for examples.
    >     >     >
    >     >     >     Hope that helps,
    >     >     >
    >     >     >     Simon
    >     >     >
    >     >     >
    >     >     >     On Thu, Jun 13, 2019 at 11:15 AM Cravan 
<cravan...@gmail.com> wrote:
    >     >     >     >
    >     >     >     > I'm getting a weird error code when I try to store 
values from a csv into an sql table in a movie review assignment.
    >     >     >     >
    >     >     >     > I have already edited my apostrophes and spacing and 
looked up examples from google to try and resolve my error to no avail. I also 
ensured that i defined DATABASE_URL properly. Sorry for the long traceback 
error at the end :P Please note that my csv values are stored in lists in each 
cell. They are arranged in a single column such as
    >     >     >     >
    >     >     >     > The Lego Movie;2014;100;tt1490017;7.8
    >     >     >     >
    >     >     >     > This is my main code
    >     >     >     >
    >     >     >     > import csv
    >     >     >     > import sys
    >     >     >     > import os
    >     >     >     > from sqlalchemy import Column, ForeignKey, Integer, 
String
    >     >     >     > from sqlalchemy import create_engine
    >     >     >     > from flask import Flask, render_template, request, 
session
    >     >     >     > from flask_sqlalchemy import SQLAlchemy
    >     >     >     > from flask_session import Session
    >     >     >     >
    >     >     >     > engine = create_engine(os.getenv("DATABASE_URL")) # 
database engine object from SQLAlchemy that manages connections to the 
database,# DATABASE_URL is an environment variable that indicates where the 
database lives
    >     >     >     >
    >     >     >     > def main():
    >     >     >     >     f = open("movies.csv","r")
    >     >     >     >     reader = csv.reader(f, delimiter=';')
    >     >     >     >     for i, row in enumerate(reader): # loop gives each 
column a name
    >     >     >     >         if i == 0:
    >     >     >     >             continue
    >     >     >     >         title = row[0]
    >     >     >     >         year = int(row[1])
    >     >     >     >         runtime = int(row[2])
    >     >     >     >         imdbID = row[3]
    >     >     >     >         imdbRating = float(row[4])
    >     >     >     >         engine.execute('INSERT INTO 
movies("title","year","runtime","imdbID","imdbRating") VALUES ((title), (year), 
(runtime), (imdbID), (imdbRating))',
    >     >     >     >         {"title": title, "year": year, "runtime": 
runtime, "imdbID": imdbID, "imdbRating": imdbRating })
    >     >     >     >     engine.commit() # transactions are assumed, so 
close the transaction finished
    >     >     >     > if __name__ == "__main__":
    >     >     >     >     main()
    >     >     >     >
    >     >     >     > SQL code:
    >     >     >     >
    >     >     >     > CREATE TABLE movies (
    >     >     >     >       "title" SERIAL PRIMARY KEY,
    >     >     >     >       "year" INTEGER NOT NULL,
    >     >     >     >       "runtime" INTEGER NOT NULL,
    >     >     >     >       "imdbID" VARCHAR NOT NULL,
    >     >     >     >       "imdbRating" INTEGER NOT NULL
    >     >     >     >   );
    >     >     >     >
    >     >     >     > New error code:
    >     >     >     >
    >     >     >     > Traceback (most recent call last):
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 1244, in 
_execute_context
    >     >     >     >     cursor, statement, parameters, context
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/default.py", line 550, in 
do_execute
    >     >     >     >     cursor.execute(statement, parameters)
    >     >     >     > psycopg2.errors.UndefinedColumn: column "title" does 
not exist
    >     >     >     > LINE 1: ...,"year","runtime","imdbID","imdbRating") 
VALUES ((title), (y...
    >     >     >     >                                                         
     ^
    >     >     >     > HINT:  There is a column named "title" in table 
"movies", but it cannot be re
    >     >     >     > ferenced from this part of the query.
    >     >     >     >
    >     >     >     >
    >     >     >     > The above exception was the direct cause of the 
following exception:
    >     >     >     > Traceback (most recent call last):
    >     >     >     >   File "import.py", line 26, in <module>
    >     >     >     >     main()
    >     >     >     >   File "import.py", line 23, in main
    >     >     >     >     {"title": title, "year": year, "runtime": runtime, 
"imdbID": imdbID, "imd
    >     >     >     > bRating": imdbRating })
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 2166, in 
execute
    >     >     >     >     return connection.execute(statement, *multiparams, 
**params)
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 982, in 
execute
    >     >     >     >     return self._execute_text(object_, multiparams, 
params)
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 1155, in 
_execute_text
    >     >     >     >     parameters,
    >     >     >     > File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 1248, in 
_execute_context
    >     >     >     >     e, statement, parameters, cursor, context
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 1466, in 
_handle_dbapi_exception
    >     >     >     >     util.raise_from_cause(sqlalchemy_exception, 
exc_info)
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/util/compat.py", line 383, in 
raise_from_cause
    >     >     >     >     reraise(type(exception), exception, tb=exc_tb, 
cause=cause)
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/util/compat.py", line 128, in 
reraise
    >     >     >     >     raise value.with_traceback(tb)
    >     >     >     >   File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/base.py", line 1244, in 
_execute_context
    >     >     >     >     cursor, statement, parameters, context
    >     >     >     > File 
"/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-
    >     >     >     > packages/sqlalchemy/engine/default.py", line 550, in 
do_execute
    >     >     >     >     cursor.execute(statement, parameters)
    >     >     >     > sqlalchemy.exc.ProgrammingError: 
(psycopg2.errors.UndefinedColumn) column "ti
    >     >     >     > tle" does not exist
    >     >     >     > LINE 1: ...,"year","runtime","imdbID","imdbRating") 
VALUES ((title), (y...
    >     >     >     >                                                         
     ^
    >     >     >     > HINT:  There is a column named "title" in table 
"movies", but it cannot be re
    >     >     >     > ferenced from this part of the query.
    >     >     >     >
    >     >     >     > [SQL: INSERT INTO 
movies("title","year","runtime","imdbID","imdbRating") VALU
    >     >     >     > ES ((title), (year), (runtime), (imdbID), (imdbRating))]
    >     >     >     > [parameters: {'title': 'Title', 'year': 'Year', 
'runtime': 'Runtime', 'imdbID
    >     >     >     > ': 'imdbID', 'imdbRating': 'imdbRating\n'}]
    >     >     >     > (Background on this error at: http://sqlalche.me/e/f405)
    >     >     >     >
    >     >     >     > --
    >     >     >     > SQLAlchemy -
    >     >     >     > The Python SQL Toolkit and Object Relational Mapper
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    >     >     >     > http://www.sqlalchemy.org/
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SQLAlchemy - 
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Attachment: summative3.sql
Description: Binary data

import csv
import sys
import os
import sqlalchemy
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy import create_engine
from flask import Flask, render_template, request, session
from flask_sqlalchemy import SQLAlchemy
from flask_session import Session

engine = create_engine(os.getenv("DATABASE_URL")) # database engine object from SQLAlchemy that manages connections to the database,# DATABASE_URL is an environment variable that indicates where the database lives

def main():
    f = open("movies.csv","r")
    reader = csv.reader(f, delimiter=';')
    for i, row in enumerate(reader): # loop gives each column a name
        if i == 0:
            continue
        if not row:
            continue
        title = row[0]
        year = int(row[1])
        runtime = int(row[2])
        imdbID = row[3]
        imdbRating = float(row[4])
        insert_statement = sqlalchemy.text('INSERT INTO movies(title, year, runtime, "imdbID", "imdbRating") VALUES (:title, :year, :runtime, :imdbID, :imdbRating)')
        engine.execute(insert_statement, title=title, year=year, runtime=runtime, imdbID=imdbID, imdbRating=imdbRating)
    engine.commit() # transactions are assumed, so close the transaction finished
if __name__ == "__main__":
    main()
Title;Year;Runtime;imdbID;imdbRating
The Lego Movie;2014;100;tt1490017;7.8
The Shawshank Redemption;1994;142;tt0111161;9.3
The Godfather;1972;175;tt0068646;9.2
The Godfather: Part II;1974;202;tt0071562;9
The Dark Knight;2008;152;tt0468569;9
12 Angry Men;1957;96;tt0050083;8.9
Schindler's List;1993;195;tt0108052;8.9
The Lord of the Rings: The Return of the King;2003;201;tt0167260;8.9
Pulp Fiction;1994;154;tt0110912;8.9
The Good the Bad and the Ugly;1966;178;tt0060196;8.9
Fight Club;1999;139;tt0137523;8.8
The Lord of the Rings: The Fellowship of the Ring;2001;178;tt0120737;8.8
Forrest Gump;1994;142;tt0109830;8.8
Star Wars: Episode V - The Empire Strikes Back;1980;124;tt0080684;8.7
Inception;2010;148;tt1375666;8.8
The Lord of the Rings: The Two Towers;2002;179;tt0167261;8.7
Avengers: Endgame;2019;181;tt4154796;8.9
One Flew Over the Cuckoo's Nest;1975;133;tt0073486;8.7
Goodfellas;1990;146;tt0099685;8.7
The Matrix;1999;136;tt0133093;8.7
Seven Samurai;1954;207;tt0047478;8.7
Se7en;1995;127;tt0114369;8.6
City of God;2002;130;tt0317248;8.6
Star Wars: Episode IV - A New Hope;1977;121;tt0076759;8.6
The Silence of the Lambs;1991;118;tt0102926;8.6
It's a Wonderful Life;1946;130;tt0038650;8.6
Life Is Beautiful;1997;116;tt0118799;8.6
Spirited Away;2001;125;tt0245429;8.6
Saving Private Ryan;1998;169;tt0120815;8.6
The Usual Suspects;1995;106;tt0114814;8.6
Leon: The Professional;1994;110;tt0110413;8.6
The Green Mile;1999;189;tt0120689;8.6
Interstellar;2014;169;tt0816692;8.6
Psycho;1960;109;tt0054215;8.5
American History X;1998;119;tt0120586;8.5
City Lights;1931;87;tt0021749;8.5
Casablanca;1942;102;tt0034583;8.5
Once Upon a Time in the West;1968;165;tt0064116;8.5
The Pianist;2002;150;tt0253474;8.5
Modern Times;1936;87;tt0027977;8.5
The Intouchables;2011;112;tt1675434;8.5
The Departed;2006;151;tt0407887;8.5
Back to the Future;1985;116;tt0088763;8.5
Terminator 2: Judgment Day;1991;137;tt0103064;8.5
Whiplash;2014;106;tt2582802;8.5
The Lion King;1994;88;tt0110357;8.5
Rear Window;1954;112;tt0047396;8.5
Gladiator;2000;155;tt0172495;8.5
Raiders of the Lost Ark;1981;115;tt0082971;8.5
The Prestige;2006;130;tt0482571;8.5
Apocalypse Now;1979;147;tt0078788;8.5
Memento;2000;113;tt0209144;8.5
Alien;1979;117;tt0078748;8.5
Grave of the Fireflies;1988;89;tt0095327;8.5
Cinema Paradiso;1988;155;tt0095765;8.5
Spider-Man: Into the Spider-Verse;2018;117;tt4633694;8.5
The Great Dictator;1940;125;tt0032553;8.5
Sunset Boulevard;1950;110;tt0043014;8.4
The Lives of Others;2006;137;tt0405094;8.4
Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb;1964;95;tt0057012;8.4
Avengers: Infinity War;2018;149;tt4154756;8.5
Paths of Glory;1957;88;tt0050825;8.4
Django Unchained;2012;165;tt1853728;8.4
The Shining;1980;146;tt0081505;8.4
WALL-E;2008;98;tt0910970;8.4
Princess Mononoke;1997;134;tt0119698;8.4
Witness for the Prosecution;1957;116;tt0051201;8.4
Oldboy;2003;120;tt0364569;8.4
Aliens;1986;137;tt0090605;8.4
The Dark Knight Rises;2012;164;tt1345836;8.4
American Beauty;1999;122;tt0169547;8.4
Once Upon a Time in America;1984;229;tt0087843;8.4
Coco;2017;105;tt2380307;8.4
Das Boot;1981;149;tt0082096;8.4
Citizen Kane;1941;119;tt0033467;8.3
Braveheart;1995;178;tt0112573;8.4
Vertigo;1958;128;tt0052357;8.3
North by Northwest;1959;136;tt0053125;8.3
Reservoir Dogs;1992;99;tt0105236;8.3
Your Name;2015;22;tt6033368;8.9
Star Wars: Episode VI - Return of the Jedi;1983;131;tt0086190;8.3
M;1931;99;tt0022100;8.3
Amadeus;1984;160;tt0086879;8.3
Requiem for a Dream;2000;102;tt0180093;8.3
Dangal;2016;161;tt5074352;8.5
3 Idiots;2009;170;tt1187043;8.4
2001: A Space Odyssey;1968;149;tt0062622;8.3
Toy Story;1995;81;tt0114709;8.3
Like Stars on Earth;2007;165;tt0986264;8.4
Eternal Sunshine of the Spotless Mind;2004;108;tt0338013;8.3
Lawrence of Arabia;1962;216;tt0056172;8.3
A Clockwork Orange;1971;136;tt0066921;8.3
Singin' in the Rain;1952;103;tt0045152;8.3
Amelie;2001;122;tt0211915;8.3
Double Indemnity;1944;107;tt0036775;8.3
Inglourious Basterds;2009;153;tt0361748;8.3
Taxi Driver;1976;114;tt0075314;8.3
Full Metal Jacket;1987;116;tt0093058;8.3
To Kill a Mockingbird;1962;129;tt0056592;8.3
Bicycle Thieves;1948;89;tt0040522;8.3
Good Will Hunting;1997;126;tt0119217;8.3
The Kid;1921;68;tt0012349;8.3
The Sting;1973;129;tt0070735;8.3
The Hunt;2012;115;tt2106476;8.3
Toy Story 3;2010;103;tt0435761;8.3
Snatch;2000;102;tt0208092;8.3
Scarface;1983;170;tt0086250;8.3
For a Few Dollars More;1965;132;tt0059578;8.3
The Apartment;1960;125;tt0053604;8.3
Metropolis;1927;153;tt0017136;8.3
Monty Python and the Holy Grail;1975;91;tt0071853;8.3
L.A. Confidential;1997;138;tt0119488;8.3
A Separation;2011;123;tt1832382;8.3
Indiana Jones and the Last Crusade;1989;127;tt0097576;8.2
Up;2009;96;tt1049413;8.2
Rashomon;1950;88;tt0042876;8.3
All About Eve;1950;138;tt0042192;8.3
Batman Begins;2005;140;tt0372784;8.2
Some Like It Hot;1959;121;tt0053291;8.2
Yojimbo;1961;110;tt0055630;8.3
Downfall;2004;156;tt0363163;8.2
Unforgiven;1992;130;tt0105695;8.2
Die Hard;1988;132;tt0095016;8.2
Heat;1995;170;tt0113277;8.2
The Treasure of the Sierra Madre;1948;126;tt0040897;8.2
Incendies;2010;131;tt1255953;8.3
Ikiru;1952;143;tt0044741;8.3
Green Book;2018;130;tt6966692;8.3
Raging Bull;1980;129;tt0081398;8.2
The Great Escape;1963;172;tt0057115;8.2
Children of Heaven;1997;89;tt0118849;8.3
Pan's Labyrinth;2006;118;tt0457430;8.2
Chinatown;1974;130;tt0071315;8.2
My Neighbor Totoro;1988;86;tt0096283;8.2
The Third Man;1949;93;tt0041959;8.2
Howl's Moving Castle;2004;119;tt0347149;8.2
My Father and My Son;2005;108;tt0476735;8.4
Ran;1985;162;tt0089881;8.2
Judgment at Nuremberg;1961;186;tt0055031;8.2
The Secret in Their Eyes;2009;129;tt1305806;8.2
The Gold Rush;1925;95;tt0015864;8.2
A Beautiful Mind;2001;135;tt0268978;8.2
The Bridge on the River Kwai;1957;161;tt0050212;8.2
"Lock, Stock and Two Smoking Barrels;1998;107;tt0120735;8.2"
Casino;1995;178;tt0112641;8.2
The Seventh Seal;1957;96;tt0050976;8.2
On the Waterfront;1954;108;tt0047296;8.2
Three Billboards Outside Ebbing Missouri;2017;115;tt5027774;8.2
The Wolf of Wall Street;2013;180;tt0993846;8.2
The Elephant Man;1980;124;tt0080678;8.2
Inside Out;2015;95;tt2096673;8.2
V for Vendetta;2005;132;tt0434409;8.2
Mr. Smith Goes to Washington;1939;129;tt0031679;8.2
Room;2015;118;tt3170832;8.2
Warrior;2011;140;tt1291584;8.2
Blade Runner;1982;117;tt0083658;8.2
Dial M for Murder;1954;105;tt0046912;8.2
No Country for Old Men;2007;122;tt0477348;8.1
There Will Be Blood;2007;158;tt0469494;8.2
Andhadhun;2018;139;tt8108198;8.5
Wild Strawberries;1957;91;tt0050986;8.2
The General;1926;67;tt0017925;8.2
The Sixth Sense;1999;107;tt0167404;8.1
Trainspotting;1996;93;tt0117951;8.2
Gone with the Wind;1939;238;tt0031381;8.2
The Thing;1982;109;tt0084787;8.1
Fargo;1996;98;tt0116282;8.1
Come and See;1985;142;tt0091251;8.2
Gran Torino;2008;116;tt1205489;8.1
Finding Nemo;2003;100;tt0266543;8.1
The Deer Hunter;1978;183;tt0077416;8.1
Shutter Island;2010;138;tt1130884;8.1
The Big Lebowski;1998;117;tt0118715;8.1
Kill Bill: Vol. 1;2003;111;tt0266697;8.1
Sherlock Jr.;1924;45;tt0015324;8.2
Cool Hand Luke;1967;126;tt0061512;8.1
Tokyo Story;1953;136;tt0046438;8.2
Mary and Max;2009;92;tt0978762;8.1
Rebecca;1940;130;tt0032976;8.1
Hacksaw Ridge;2016;139;tt2119532;8.1
Jurassic Park;1993;127;tt0107290;8.1
How to Train Your Dragon;2010;98;tt0892769;8.1
Gone Girl;2014;149;tt2267998;8.1
Wild Tales;2014;122;tt3011894;8.1
The Truman Show;1998;103;tt0120382;8.1
Sunrise;1927;94;tt0018455;8.2
Stalker;1979;162;tt0079944;8.1
The Grand Budapest Hotel;2014;99;tt2278388;8.1
In the Name of the Father;1993;133;tt0107207;8.1
Stand by Me;1986;89;tt0092005;8.1
It Happened One Night;1934;105;tt0025316;8.1
Into the Wild;2007;148;tt0758758;8.1
Platoon;1986;120;tt0091763;8.1
Memories of Murder;2003;132;tt0353969;8.1
Network;1976;121;tt0074958;8.1
Monty Python's Life of Brian;1979;94;tt0079470;8.1
Ben-Hur;1959;212;tt0052618;8.1
Persona;1966;83;tt0060827;8.1
12 Years a Slave;2013;134;tt2024544;8.1
Million Dollar Baby;2004;132;tt0405159;8.1
Hotel Rwanda;2004;121;tt0395169;8.1
Before Sunrise;1995;101;tt0112471;8.1
The Bandit;1996;128;tt0116231;8.3
Neon Genesis Evangelion: The End of Evangelion;1997;90;tt0169858;8.2
Prisoners;2013;153;tt1392214;8.1
Mad Max: Fury Road;2015;120;tt1392190;8.1
The Wages of Fear;1953;131;tt0046268;8.1
Rush;2013;123;tt1979320;8.1
Hachi: A Dog's Tale;2009;93;tt1028532;8.1
Logan;2017;137;tt3315342;8.1
The 400 Blows;1959;99;tt0053198;8.1
Andrei Rublev;1966;205;tt0060107;8.2
Catch Me If You Can;2002;141;tt0264464;8.1
Spotlight;2015;129;tt1895587;8.1
The Passion of Joan of Arc;1928;114;tt0019254;8.1
Amores Perros;2000;154;tt0245712;8.1
Harry Potter and the Deathly Hallows: Part 2;2011;130;tt1201607;8.1
Nausicaa of the Valley of the Wind;1984;117;tt0087544;8.1
The Princess Bride;1987;98;tt0093779;8.1
Barry Lyndon;1975;185;tt0072684;8.1
Rocky;1976;120;tt0075148;8.1
Butch Cassidy and the Sundance Kid;1969;110;tt0064115;8.1
Rang De Basanti;2006;157;tt0405508;8.2
Monsters Inc.;2001;92;tt0198781;8.1
Dead Poets Society;1989;128;tt0097165;8.1
The Grapes of Wrath;1940;129;tt0032551;8.1
The Maltese Falcon;1941;100;tt0033870;8.1
The Terminator;1984;107;tt0088247;8
Raise the Red Lantern;1991;125;tt0101640;8.2
The Handmaiden;2016;145;tt4016934;8.1
Gandhi;1982;191;tt0083987;8.1
La Haine;1995;98;tt0113247;8.1
Donnie Darko;2001;113;tt0246578;8.1
In the Mood for Love;2000;98;tt0118694;8.1
Diabolique;1955;117;tt0046911;8.1
Groundhog Day;1993;101;tt0107048;8
The Help;2011;146;tt1454029;8.1
The Wizard of Oz;1939;102;tt0032138;8
Jaws;1975;124;tt0073195;8
Guardians of the Galaxy;2014;121;tt2015381;8.1
Before Sunset;2004;80;tt0381681;8.1
Castle in the Sky;1986;125;tt0092067;8.1
Paris Texas;1984;145;tt0087884;8.1
Pirates of the Caribbean: The Curse of the Black Pearl;2003;143;tt0325980;8
The Nights of Cabiria;1957;110;tt0050783;8.1
Beauty and the Beast;1991;84;tt0101414;8
The Exorcist;1973;122;tt0070047;8
Three Colors: Red;1994;99;tt0111495;8.1
Akira;1988;124;tt0094625;8.1
Gangs of Wasseypur;2012;321;tt1954470;8.2
PK;2014;153;tt2338151;8.2

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