Printing .csv files in Python depending on the year?

Question

I have a CSV file.

Each line contains data separated A Comma; each row is ended by a new line character. So in my file, the first data entry of each line is a year and the second entry in the line is the title of a film.

For example:

1990, Tie Me Up! Tie Me Down!

So, it just has a bunch of years, and then movie titles. My question is, how do I print the movie title IF it was made before 1990? So something like:

2015, Spongebob movie

wouldn't print.

So far I have:

f = open("filmdata.csv","r",encoding="utf-8")
for line in f:
    entries = line.split(",")
    if entries in f < 1990 :
        print(line)
f.close()

But nothing is printing out? But it doesn't say error or anything.. I'm trying to keep it in this format.

Answer 1

Although the previous answers will work in your generic case, it is a much better idea to use Python's csv module when working with a CSV. It is more extensible, provides handling of more complicated cases (like escaping quotes and data with commas), and is very easy to use.

The following code snippet should work in your case:

import csv

with open('filmdata.csv', 'r') as csvfile:
    data = csv.reader(csvfile, delimiter=',', encoding='utf-8')
    for year, movie in data:
        if int(year) < 1990:
            print (year, movie)

You can of course modify the print to use any format. If you want to separate by commas, this will work:

print('{}, {}'.format(year, movie))

Answer 2

Try this:

f = open("filmdata.csv","r",encoding="utf-8")
for line in f:
    entries = line.split(",")
    if int(entries[0]) < 1990 :
        print(line)
f.close()

Answer 3

Have you tried looking into using Pandas. I moc'd up a movie.csv file with 2 colums (year,title).

import pandas as pd
movies = pd.read_csv('movie.csv',sep=',',names=["year","title"])

Output of movies array:

    year    title
0   1990    Movie1
1   1991    Movie2
2   1992    Movie3
3   1993    Movie4
4   1994    Movie5
5   1995    Movie6
6   1996    Movie7
7   1997    Movie8
8   1999    Movie9
9   2000    Movie10

Let's say we'd like to see all the movies where the year is over 1994:

movies[movies['year']> 1994]

   year    title
5  1995   Movie6
6  1996   Movie7
7  1997   Movie8
8  1999   Movie9
9  2000  Movie10