Metadata-Version: 2.1
Name: csv-diff-yhua
Version: 0.5.4
Summary: Python CLI tool and library for diffing CSV files
Home-page: https://github.com/MainHanzo/csv-diff-hanzo.git
Author: yhua
License: Apache License, Version 2.0
Description: # csv-diff
        
        [![PyPI](https://img.shields.io/pypi/v/csv-diff.svg)](https://pypi.org/project/csv-diff/)
        [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/csv-diff/blob/master/LICENSE)
        
        Tool for viewing the difference between two CSV files. See [Generating a commit log for San Francisco’s official list of trees](https://simonwillison.net/2019/Mar/13/tree-history/) (and the [sf-tree-history repo commit log](https://github.com/simonw/sf-tree-history/commits)) for background information on this project.
        
        Consider two CSV files:
        
        `one.csv`
        
            id,name,age
            1,Cleo,4
            2,Pancakes,2
        
        `two.csv`
        
            id,name,age
            1,Cleo,5
            3,Bailey,1
        
        `csv-diff` can show a human-readable summary of differences between the files:
        
            $ csv-diff one.csv two.csv --key=id
            1 row changed, 1 row added, 1 row removed
        
            1 row changed
        
              Row 1
                age: "4" => "5"
        
            1 row added
        
              id: 3
              name: Bailey
              age: 1
        
            1 row removed
        
              id: 2
              name: Pancakes
              age: 2
        
        The `--key=id` option means that the `id` column should be treated as the unique key, to identify which records have changed.
        
        You can also run it using the `--json` option to get a machine-readable difference:
        
            $ csv-diff one.csv two.csv --key=id --json
            {
                "added": [
                    {
                        "id": "3",
                        "name": "Bailey",
                        "age": "1"
                    }
                ],
                "removed": [
                    {
                        "id": "2",
                        "name": "Pancakes",
                        "age": "2"
                    }
                ],
                "changed": [
                    {
                        "key": "1",
                        "changes": {
                            "age": [
                                "4",
                                "5"
                            ]
                        }
                    }
                ],
                "columns_added": [],
                "columns_removed": []
            }
        
        You can also import the Python library into your own code like so:
        
            from csv_diff import load_csv, compare
            diff = compare(
                load_csv(open("one.csv"), key="id"),
                load_csv(open("two.csv"), key="id")
            )
        
        `diff` will now contain the same data structure as the output in the `--json` example above.
        
        If the columns in the CSV have changed, those added or removed olumns will be ignored when calculating changes made to specific rows.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Provides-Extra: test
