{"id":25757608,"url":"https://github.com/axnjr/csv-parser-utils","last_synced_at":"2026-04-29T22:34:21.176Z","repository":{"id":276300969,"uuid":"928863648","full_name":"Axnjr/csv-parser-utils","owner":"Axnjr","description":"My own Pandas in Go, Python \u0026 Rust, Utility methods for Handling CSV Files in Core Go \u0026 Rust with bindings for python.","archived":false,"fork":false,"pushed_at":"2025-06-15T10:08:32.000Z","size":2952,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-30T21:41:40.851Z","etag":null,"topics":["csv","data","dataanalysis","datatools","go","golang","golang-application","pandas","python","rs","rust"],"latest_commit_sha":null,"homepage":"","language":"Go","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Axnjr.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-02-07T11:27:24.000Z","updated_at":"2025-06-15T10:08:36.000Z","dependencies_parsed_at":"2025-08-17T16:32:46.020Z","dependency_job_id":null,"html_url":"https://github.com/Axnjr/csv-parser-utils","commit_stats":null,"previous_names":["axnjr/redhat-test","axnjr/csv-parser-utils"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Axnjr/csv-parser-utils","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axnjr%2Fcsv-parser-utils","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axnjr%2Fcsv-parser-utils/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axnjr%2Fcsv-parser-utils/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axnjr%2Fcsv-parser-utils/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Axnjr","download_url":"https://codeload.github.com/Axnjr/csv-parser-utils/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axnjr%2Fcsv-parser-utils/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32446879,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T22:27:22.272Z","status":"ssl_error","status_checked_at":"2026-04-29T22:10:49.234Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["csv","data","dataanalysis","datatools","go","golang","golang-application","pandas","python","rs","rust"],"created_at":"2025-02-26T16:31:16.987Z","updated_at":"2026-04-29T22:34:21.161Z","avatar_url":"https://github.com/Axnjr.png","language":"Go","funding_links":[],"categories":[],"sub_categories":[],"readme":"# `CSV_Utils/py_go_rs` \n\n## Public Methods:\n- `display_csv()`\n- `filter_rows()`\n- `sort_csv()`\n- `aggregate_column()`\n- `count_valid_palindromes()`\n- `write_csv()`\n- `remove_duplicates()`\n- `replace_all_vals()`\n- `reaplace_first_val()`\n- `read_csv()`\n- `summerize()`\n- `export_json()`\n- `apply_func()`\n- `output_processed_csv()`\n\n## Private Methods:\n- `_update_csv()`\n- `_validate()`\n- `_load_csv()`\n\n## Usage / test cases\n```py\ndef run_test1():\n\n    sample_data = [\n        ['Name', 'Age', 'Score'], \n        ['Alice', '23', '85'], \n        ['Bob', '30', '90'], \n        ['Charlie', '25', '78']\n    ]\n    test_file = 'sample.csv'\n    CSV_Utils_Py.write_csv(test_file, sample_data)\n\n# ------------------------------------------------------------------------------------------------------------------ #\n\ndef run_test2():\n\n    df = CSV_Utils_Py(\"python/ppl.csv\")\n\n    df.display_csv()\n\n    # df.output_processed_csv(\"output_ppl.csv\")\n\n    filtered_data = df.filter_rows('Job Title', lambda x: x == \"Games developer\")\n    print(\"Filtered Data:\", filtered_data)\n    \n    sorted_data = df.sort_csv('Phone', ascending=False)\n    print(\"Sorted Data:\", sorted_data)\n    \n    total_score = df.aggregate_column('Index', 'sum')\n    print(\"Total Score:\", total_score)\n    \n    palindrome_count = df.count_valid_palindromes()\n    print(\"Valid Palindromes Count:\", palindrome_count)\n\n    # os.remove(test_file)\n\n    # data = pd.read_csv(\"python/ppl.csv\")\n    # print(data.to_string())\n\n# ------------------------------------------------------------------------------------------------------------------ #\n\ndef run_test3():\n    df = CSV_Utils_Py(\"python/fruits.csv\")\n    df.display_csv()\n\n    df.output_processed_csv(\"output_fruits.csv\")\n\n    filtered_data = df.filter_rows('Price', lambda x: float(x) \u003e 1.0, True)\n    print(\"Filtered Data:\", filtered_data)\n    \n    sorted_data = df.sort_csv('Date', ascending=False)\n    print(\"Sorted Data:\", sorted_data)\n    \n    total_score = df.aggregate_column('Price', 'sum')\n    print(\"Total price:\", total_score)\n    \n    palindrome_count = df.count_valid_palindromes()\n    print(\"Valid Palindromes Count:\", palindrome_count)\n\n# ------------------------------------------------------------------------------------------------------------------ #\n\ndef run_test4():\n    \n    df = CSV_Utils_Py(\"./ppl.csv\")\n\n    # replace all \"First Name\": Shelby to Radha\n    df.replace_all_vals(\"First Name\", \"Shelby\", \"Radha\")\n\n    # removes duplicates from \"Job\" Column\n    df.remove_duplicates(\"Job Tittle\")\n\n    # Converts all first names to uppercase\n    df.apply_func(\"First Name\", lambda s: s.upper())  \n\n    # Export data to JSON\n    json_data = df.export_json(\"ppl.json\")\n    print(json_data)\n\n    # counts palindromes in the csv file\n    df.count_valid_palindromes()\n\n    # show the summary of the csv file after analysis\n    df.summerize()\n\nif __name__ == \"__main__\":\n    run_test1()\n    run_test2()\n    run_test3()\n    run_test4()\n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxnjr%2Fcsv-parser-utils","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxnjr%2Fcsv-parser-utils","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxnjr%2Fcsv-parser-utils/lists"}