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" <[email protected] on behalf of
[email protected]> 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 <[email protected]> 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" <[email protected] on behalf
of [email protected]> 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 <[email protected]> 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" <[email protected] on
behalf of [email protected]> 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 <[email protected]>
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"
<[email protected] on behalf of [email protected]> 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
<[email protected]> 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
> > > >
> > > > http://www.sqlalchemy.org/
> > > >
> > > > To post example code, please provide an MCVE: Minimal,
Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a
full description.
> > > > ---
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> > > > For more options, visit
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> > >
> > > --
> > > SQLAlchemy -
> > > The Python SQL Toolkit and Object Relational Mapper
> > >
> > > http://www.sqlalchemy.org/
> > >
> > > To post example code, please provide an MCVE: Minimal,
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> > >
> > >
> > > --
> > > SQLAlchemy -
> > > The Python SQL Toolkit and Object Relational Mapper
> > >
> > > http://www.sqlalchemy.org/
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> >
> > --
> > SQLAlchemy -
> > The Python SQL Toolkit and Object Relational Mapper
> >
> > http://www.sqlalchemy.org/
> >
> > To post example code, please provide an MCVE: Minimal,
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> >
> > --
> > SQLAlchemy -
> > The Python SQL Toolkit and Object Relational Mapper
> >
> > http://www.sqlalchemy.org/
> >
> > To post example code, please provide an MCVE: Minimal, Complete,
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> --
> SQLAlchemy -
> The Python SQL Toolkit and Object Relational Mapper
>
> http://www.sqlalchemy.org/
>
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>
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>
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--
SQLAlchemy -
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http://www.sqlalchemy.org/
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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
