csv-diff | Python CLI tool and library for diffing CSV and JSON files | CSV Processing library
kandi X-RAY | csv-diff Summary
kandi X-RAY | csv-diff Summary
Python CLI tool and library for diffing CSV and JSON files
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Top functions reviewed by kandi - BETA
- Compare two values
- Return a human readable text representation of the result
- Compares two rows
- Load rows from a CSV file
- Load data from a JSON file
- Simplify a JSON row
- Return a human - readable representation of a row
- Get the long description
csv-diff Key Features
csv-diff Examples and Code Snippets
import csv
def update_csv(old_csv, new_csv, changes_csv):
with open(old_csv, newline="") as old_fp:
reader = csv.reader(old_fp)
header = next(csv.reader)
old_long_names = {row[0] for row in reader}
with ope
from csv_diff import load_csv, compare
diff = compare(
load_csv(open("one.csv"), key="id"),
load_csv(open("two.csv"), key="id")
)
from csv_diff import load_csv, compare
fro csv import DictWriter
# Get all
import csv
import pdb
def diff_csv(new_file, old_file, out_file='result.csv'):
with open(old_file) as t1, open(new_file) as t2:
c2 = csv.DictReader(t2)
c1 = csv.DictReader(t1)
assert c2.fieldnames == c1.fieldn
in_file = 'in.csv'
out_file = 'out.csv'
exception_file = 'exp.csv'
exception_rows = set(open(exception_file))
with open('out.csv', 'w') as f:
for row in open('in.csv'):
if row not in exception_rows:
f.write(row)
import sys
def csv_diff(file_f,file_g):
#file_f = sys.argv[1]
#file_g = sys.argv[2]
set_f = set()
set_g = set()
with open(file_f) as f:
line = f.readline().strip()
while
Community Discussions
Trending Discussions on csv-diff
QUESTION
I have a script that scrapes a site and puts specific site names into a csv. Some days it has 0 site names and some days it has more the 4. I have another script that takes the csv from today and the csv from yesterday and compares the two. If today's csv has site names that were also on yesterday's csv I want to outfile those site names to a different txt file. I have:
...ANSWER
Answered 2021-Aug-06 at 17:21You can achieve this using pandas
:
QUESTION
I have 2 CSVs which are New.csv and Old.csv shown below:
New.csv
...ANSWER
Answered 2020-Oct-23 at 03:10You can build a set of the longNames in the old csv and then check the new values against it.
QUESTION
I have 2 CSVs which are New.csv and Old.csv that are have around 1K rows and 10 columns that has a structure like this:
If there is a longName (first column) in in the new.csv that is not in the old.csv, I would like that entire new.csv row to be appended to the changes.csv.
I started off by doing this but it does not work well at all:
...ANSWER
Answered 2020-Oct-21 at 22:20Have you looked at csv-diff
? Their website has an example that might be suitable:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install csv-diff
You can use csv-diff like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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