Compare two CSV files and print the rows that are different Python
11,453
Not sure how effective is this but IMO does what you want:
import csv
with open('English.csv', 'rb') as csvfile1:
with open ("Dictionary.csv", "rb") as csvfile2:
reader1 = csv.reader(csvfile1)
reader2 = csv.reader(csvfile2)
rows1_col_a = [row[0] for row in reader1]
rows2 = [row for row in reader2]
only_b = []
for row in rows2:
if row[0] not in rows1_col_a:
only_b.append(row)
print only_b
Outputs:
[['d', 'disease'], ['bc', 'breast cancer']]
Author by
abn
Updated on June 04, 2022Comments
-
abn almost 2 years
I'm trying to compare two csv files that are like below
English.csv i am is was were Dictionary.csv i,insomnia d,disease bc,breast cancer
I'm trying to compare the first columns in two files and print the rows that are different from Dictionary.csv like below
final.csv d,disease bc,breast cancer
I tried this code.
import csv with open('English.csv', 'rb') as csvfile1: with open ("Dictionary.csv", "rb") as csvfile2: reader1 = csv.reader(csvfile1) reader2 = csv.reader(csvfile2) rows1 = [row for row in reader1] rows2 = [row for row in reader2] col_a = [row1[0] for row1 in rows1] col_b = [row2[0] for row2 in rows2] col_c = [row2[1] for row2 in rows2] only_b = [text for text in col_b if not text in col_a]
I can get data from first column that is different, but not from the second column like below. How can I get the corresponding data from second column?
>>>only_b ['d','bc']