Package: csvdiff
OverviewGenerate a diff between two CSV files on the command-line.csvdiffallows you to compare the semantic contents of two CSV files, ignoring things like row and column ordering in order to get to what’s actually changed. This is useful if you’re comparing the output of an automatic system from one day to the next, so that you can look at just what’s changed.It’s also useful for maintaining patches to third-party data. Diffs generated bycsvdiffare a subset of JSON and can be stored and applied using the matchingcsvpatchcommand. If upstream data changes, you can fetch the new version and re-apply your changes to it easily.InstallingYou’ll firstly need Python and pip. Then run:pip install csvdiffExamplesFor example, suppose we havea.csv:id,name,amount
1,bob,20
2,eva,63
3,sarah,7
4,jeff,19
6,fred,10After some changes and corrections to the data, we now haveb.csv:id,name,amount
1,bob,23       <--- changed
3,sarah,7
4,jeff,19
5,mira,81      <--- added
6,fred,13      <--- changedNow we can ask for a summary of differences:$ csvdiff --style=summary id a.csv b.csv
1 rows removed (20.0%)
1 rows added (20.0%)
2 rows changed (40.0%)Or look at the full diff pretty printed, to make it more readable:$ csvdiff --style=pretty --output=diff.json id a.csv b.csv
$ cat diff.json
{
  "_index": [
    "id"
  ],
  "added": [
    {
      "amount": "81",
      "id": "5",
      "name": "mira"
    }
  ],
  "changed": [
    {
      "fields": {
        "amount": {
          "from": "20",
          "to": "23"
        }
      },
      "key": [
        "1"
      ]
    },
    {
      "fields": {
        "amount": {
          "from": "10",
          "to": "13"
        }
      },
      "key": [
        "6"
      ]
    }
  ],
  "removed": [
    {
      "amount": "63",
      "id": "2",
      "name": "eva"
    }
  ]
}If you want to ignore a column from the comparison then you can do so by specifying a comma seperated list of column names to ignore. For example:$ csvdiff --style=summary --ignore-columns=amount id a.csv b.csv
1 rows removed (20.0%)
1 rows added (20.0%)
0 rows changed (0%)You can also choose to compare numeric fields only up to a certain number of significant figures. Use negative significant figures for orders of magnitude:$ csvdiff --style=summary id a.csv c.csv
0 rows removed (0.0%)
0 rows added (0.0%)
2 rows changed (40.0%)
$ csvdiff --style=summary id --significance=-1 a.csv c.csv
files are identicalDiffs generated this way contain all the data that’s changed, and can be reapplied later if the original data changes. For example, suppose more data gets added toa.csv, giving usa-plus.csv:id,name,amount
1,bob,20
2,eva,63
3,sarah,7
4,jeff,19
6,fred,10
8,henry,9We can reapply our changes with thecsvpatchcommand:$ csvpatch --input=diff.json --output=b-plus.csv a-plus.csv
$ cat b-plus.csv
id,name,amount
1,bob,23
3,sarah,7
4,jeff,19
5,mira,81
6,fred,13
8,henry,9This can be useful if you’re using csvdiff to transform data that’s outside your control. In this case, you maintain the patch file and simply reapply it when the upstream data provider gives you a fresh file.For more usage options, runcsvdiff--helporcsvpatch--help.LicenseBSD licenseHistory0.3.3 (2017-07-20)Add the –significance option to limit to significant figures.0.3.2 (2017-07-20)Add the –sep option for different delimiters.Fix a bug when a patched document becomes empty (#29).0.3.1 (2016-04-20)Fix a bug in summary mode.Check for rows bleeding into one another.0.3.0 (2015-01-07)Standardise patch format with a JSON schema.Provide a matching csvpatch command applying diffs.Add a man page and docs for csvpatch.Use exit codes to indicate difference.Add a –quiet option to csvdiff.0.2.0 (2014-12-30)Uses click for the command-line interface.Drop YAML support in favour of pretty-printed JSON.Uses –style option to change output style.Provides a full man page.0.1.0 (2014-03-15)First release on PyPI.Generates a JSON or YAML difference between two CSV filesSpecify multiple key components with-kCan provide a difference summaryAssumes files use standard comma-separation, double-quoting and a header row with field names