Reputation: 39
I have a list of lists which goes something like this...
data = [['09/10/2018', '11/10/2018', 'Subject A', 'Teacher Name A', 'Assignment text...'], ['09/10/2018', '10/10/2018', 'Subject B', 'Teacher Name B', 'Assignment text...']]
and I want to remove every element from that list in which the first three elements are in a .csv file.
Example CSV:
09/10/2018, 11/10/2018, Subject A
09/10/2018, 10/10/2018, Subject B
24/09/2018, 01/10/2018, Subject E
This .csv may contain a row that does not match any of the lists in the data list.
My problem is that I am unable to successfully remove lists from the data list based on the .csv
Here is the relevant code:
data = pull_data() # Gets the list of lists
with open('Log.csv') as f: #Opens Log.csv
prevData=[tuple(line) for line in csv.reader(f)] #Gets the data from the .csv
for sublist in data:
for prevSub in prevdata:
if(len(sublist) > 0 and len(prevSub) > 0):
if sublist[0] == prevSub[0]:
if sublist[1] == prevSub[1]:
if sublist[2] == prevSub[2]
data.pop(data.index(sublist)) # Should remove list from list of lists
Upvotes: 1
Views: 43
Reputation: 164773
Here's one way. The idea is to construct a set of tuples from the csv file. Then use a list comprehension to filter data
. This ensure O(1) lookup complexity. Tuple conversion is necessary since tuple
is hashable, while list
is not.
from io import StringIO
import csv
data = [['09/10/2018', '11/10/2018', 'Subject A', 'Teacher Name A', 'Assignment text...'],
['09/10/2018', '10/10/2018', 'Subject B', 'Teacher Name B', 'Assignment text...']]
x = StringIO(""" 09/10/2018, 11/10/2018, Subject A
09/10/2018, 10/10/2018, Subject B
24/09/2018, 01/10/2018, Subject E""")
# replace x with open('Log.csv')
with x as fin:
set_of_tuples = set(map(tuple, csv.reader(fin, skipinitialspace=True)))
# apply filter
res = [i for i in data if tuple(i[:3]) not in set_of_tuples]
Upvotes: 1