I have 2 CSV files of same dimensions. In the below example used the dimensions is 3*3 (3 comma separated values and 3 rows). It could be files of dimensions 100*10000
File1.csv:
Name, ID, Profession
Tom, 1, Teacher
Dick, 2, Actor
File2.csv:
Name, ID, Profession
Dick, 2, Actor
Tom, 1, Police
I want to compare the files element wise (e.g: Teacher == Police)
It would be great if I could compare the lists using primary key (ID) in case the list is not in order. I would like to have output something like below:
Profession of ID = 1 does not match, i.e Teacher <> Police
ID in the output above is the primary key.
Note: file may be very huge (100 columns * 10000 records)
Below is the code I used to get the lists A and B from 2 csv files. But it's very tedious and I could get only 2 lines using such long code.
source_file = open('File1.csv', 'r')
file_one_line_1 = source_file.readline()
file_one_line_1_str = str(file_one_line_1)
file_one_line_1_str_replace = file_one_line_1_str.replace('\n', '')
file_one_line_1_list = list(file_one_line_1_str_replace.split(','))
file_one_line_2 = source_file.readline()
file_one_line_2_str = str(file_one_line_2)
file_one_line_2_str_replace = file_one_line_2_str.replace('\n', '')
file_one_line_2_list = list(file_one_line_2_str_replace.split(','))
file_one_line_3 = source_file.readline()
file_one_line_3_str = str(file_one_line_3)
file_one_line_3_str_replace = file_one_line_3_str.replace('\n', '')
file_one_line_3_list = list(file_one_line_3_str_replace.split(','))
A = [file_one_line_1_list, file_one_line_2_list, file_one_line_3_list]
target_file = open('File2.csv', 'r')
file_two_line_1 = target_file.readline()
file_two_line_1_str = str(file_two_line_1)
file_two_line_1_str_replace = file_two_line_1_str.replace('\n', '')
file_two_line_1_list = list(file_two_line_1_str_replace.split(','))
file_two_line_2 = source_file.readline()
file_two_line_2_str = str(file_two_line_2)
file_two_line_2_str_replace = file_two_line_2_str.replace('\n', '')
file_two_line_2_list = list(file_two_line_2_str_replace.split(','))
file_two_line_3 = source_file.readline()
file_two_line_3_str = str(file_two_line_3)
file_two_line_3_str_replace = file_two_line_3_str.replace('\n', '')
file_two_line_3_list = list(file_two_line_3_str_replace.split(','))
B = [file_two_line_1_list, file_two_line_2_list, file_two_line_3_list]
Used below code and it's working smooth:
source_file = 'Book1.csv'
target_file = 'Book2.csv'
primary_key = 'id'
# read source and target files
with open(source_file, 'r') as f:
reader = csv.reader(f)
A = list(reader)
with open(target_file, 'r') as f:
reader = csv.reader(f)
B = list(reader)
# get the number of the 'ID' column
column_names = A[0]
column_id = column_names.index(primary_key)
# get the column names without 'ID'
values_name = column_names[0:column_id] + column_names[column_id + 1:]
# create a dictionary with keys in column `column_id`
# and values the list of the other column values
A_dict = {a[column_id]: a[0:column_id] + a[column_id + 1:] for a in A}
B_dict = {b[column_id]: b[0:column_id] + b[column_id + 1:] for b in B}
# iterate on the keys and on the other columns and print the differences
for id in A_dict.keys():
for column in range(len(column_names) - 1):
if A_dict[id][column] != B_dict[id][column]:
print(f"{primary_key} = {id}\t{values_name[column]}: {A_dict[id][column]} != {B_dict[id][column]}")```
Thanks.
