{"id":31364411,"url":"https://github.com/awais11227/pandas_import_export","last_synced_at":"2025-09-27T07:06:23.965Z","repository":{"id":315063728,"uuid":"1057939936","full_name":"Awais11227/pandas_import_export","owner":"Awais11227","description":"Practical examples of importing and exporting different file formats using Pandas, including CSV, Excel, JSON, and more.","archived":false,"fork":false,"pushed_at":"2025-09-16T12:20:24.000Z","size":4,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-16T14:38:50.949Z","etag":null,"topics":["csv","data-analysis-python","data-export","data-import","excel","json","pandas-tutorial","pandas-tutorial-for-2025"],"latest_commit_sha":null,"homepage":"","language":null,"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/Awais11227.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-16T12:10:26.000Z","updated_at":"2025-09-16T12:20:29.000Z","dependencies_parsed_at":"2025-09-16T14:49:02.043Z","dependency_job_id":null,"html_url":"https://github.com/Awais11227/pandas_import_export","commit_stats":null,"previous_names":["awais11227/pandas_import_export"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/Awais11227/pandas_import_export","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Awais11227%2Fpandas_import_export","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Awais11227%2Fpandas_import_export/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Awais11227%2Fpandas_import_export/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Awais11227%2Fpandas_import_export/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Awais11227","download_url":"https://codeload.github.com/Awais11227/pandas_import_export/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Awais11227%2Fpandas_import_export/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":277194941,"owners_count":25777196,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-27T02:00:08.978Z","response_time":73,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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-analysis-python","data-export","data-import","excel","json","pandas-tutorial","pandas-tutorial-for-2025"],"created_at":"2025-09-27T07:06:19.201Z","updated_at":"2025-09-27T07:06:23.961Z","avatar_url":"https://github.com/Awais11227.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# `pandas_import_export`\n\n\nThis repository contains practical examples of how to **import and export files with Pandas**.  \nIt covers common formats such as CSV, Excel, JSON, and Parquet, making it easier to handle data in real-world projects.\n\n---\n\n## `Features`\n- Import CSV, Excel, JSON, and Parquet files  \n- Export data into multiple file formats  \n- Clean, simple, and reusable code snippets  \n- Beginner-friendly examples  \n\n---\n\n## 📂 `File Formats Covered`\n- **CSV** → `pd.read_csv()`, `to_csv()`  \n- **Excel** → `pd.read_excel()`, `to_excel()`  \n- **JSON** → `pd.read_json()`, `to_json()`  \n- **Parquet** → `pd.read_parquet()`, `to_parquet()`  \n\n---\n\n##  `Getting Started`\n\n### 1. `Clone the repository`\n```bash\ngit clone https://github.com/your-username/pandas-import-export.git\ncd pandas-import-export\n---\n\n  2.Install dependencies\n\n pip install pandas openpyxl pyarrow\n\n 3. Run examples\n\n- Check the Jupyter notebooks or Python files inside the repo to test each import/export method.\nimport pandas as pd\n\n\n\nImport CSV\ndf = pd.read_csv(\"data.csv\")\n\nExport CSV\ndf.to_csv(\"output.csv\", index=False)\n\n---\n\n 🤝   `Contributing`\n\n- Contributions are welcome!\n- Feel free to submit issues, suggestions, or pull requests.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fawais11227%2Fpandas_import_export","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fawais11227%2Fpandas_import_export","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fawais11227%2Fpandas_import_export/lists"}