{"id":17880521,"url":"https://github.com/igorbenav/dexter","last_synced_at":"2025-09-19T05:32:10.814Z","repository":{"id":57424731,"uuid":"351941111","full_name":"igorbenav/dexter","owner":"igorbenav","description":"Data Exploration Terser","archived":false,"fork":false,"pushed_at":"2024-01-20T12:33:18.000Z","size":493,"stargazers_count":9,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-06T22:07:55.578Z","etag":null,"topics":["data-analysis","data-science","eda","exploratory-data-analysis","pandas"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/igorbenav.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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}},"created_at":"2021-03-26T23:57:10.000Z","updated_at":"2025-02-11T22:05:26.000Z","dependencies_parsed_at":"2024-10-28T12:37:19.241Z","dependency_job_id":"ba664d53-6c12-4fe8-b5f0-739ee7c04d8e","html_url":"https://github.com/igorbenav/dexter","commit_stats":null,"previous_names":["igorbenav/dexter","igormagalhaesr/dexter"],"tags_count":3,"template":false,"template_full_name":null,"purl":"pkg:github/igorbenav/dexter","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igorbenav%2Fdexter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igorbenav%2Fdexter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igorbenav%2Fdexter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igorbenav%2Fdexter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/igorbenav","download_url":"https://codeload.github.com/igorbenav/dexter/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/igorbenav%2Fdexter/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274231511,"owners_count":25245625,"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":"2025-09-08T02:00:09.813Z","response_time":121,"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":["data-analysis","data-science","eda","exploratory-data-analysis","pandas"],"created_at":"2024-10-28T12:18:46.229Z","updated_at":"2025-09-19T05:32:10.774Z","avatar_url":"https://github.com/igorbenav.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# dexter\n[![PyPI version](https://badge.fury.io/py/dexter.svg)](https://badge.fury.io/py/dexter)\n[![GitHub license](https://img.shields.io/github/license/igormagalhaesr/dexter)](https://github.com/igormagalhaesr/dexter/blob/main/LICENSE.txt)\n[![Documentation Status](https://readthedocs.org/projects/dexter/badge/?version=latest)](https://dexter.readthedocs.io/en/latest/?badge=latest)\n___\n\u003edata exploration terser\n\n\n## What is dexter?\n\n**dexter** is a lightweight Python package built on top of **numpy** and **pandas** that allows fast data exploration \nfor multiple structured table files in a folder. It's a high-level tool suitable for a first contact with a dataset\ncomposed of multiple dataframes.\n\n![](img/dexter.png)\n\n## Features\n\n  - Importing multiple table files with **readm_csv()**\n  - Saving DataFrames and Names with the **FrameMap** class\n  - Applying pandas methods to multiple DataFrames at once\n\n## Installing\n\nPyPI:\n```sh\npip install dexter\n```\n\nhttps://pypi.org/project/dexter/\n\n## Usage \n\nImporting dexter:\n```python\nimport dexter as dxt\n```\n\nReading multiple dataframes in a folder:\n```python\ndataframes = dxt.readm_csv(\"./folder/\")\n```\n\nDisplaying results:\n```python\ndataframes.display()\n```\n```Out:```\n\n\u003cdiv style=\"float: left;margin-right:10px\"\u003e\n  \u003ch5 style=\"text-align:center\"\u003edf1\u003c/h5\u003e\n  \u003ctable\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cb\u003ecol1\u003c/b\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003cb\u003ecol2\u003c/b\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003cb\u003ecol3\u003c/b\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e0\u003c/td\u003e\n      \u003ctd\u003evalue1\u003c/td\u003e\n      \u003ctd\u003e$3\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e1\u003c/td\u003e\n      \u003ctd\u003evalue2\u003c/td\u003e\n      \u003ctd\u003e$5\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n      \u003ctd\u003evalue3\u003c/td\u003e\n      \u003ctd\u003e$7\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv style=\"float: left\"\u003e\n  \u003ch5 style=\"text-align:center\"\u003edf2\u003c/h5\u003e\n  \u003ctable\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cb\u003efirst\u003c/b\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003cb\u003esecond\u003c/b\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003cb\u003ethird\u003c/b\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e0\u003c/td\u003e\n      \u003ctd\u003eone\u003c/td\u003e\n      \u003ctd\u003e17%\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e1\u003c/td\u003e\n      \u003ctd\u003etwo\u003c/td\u003e\n      \u003ctd\u003e19%\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n      \u003ctd\u003ethree\u003c/td\u003e\n      \u003ctd\u003e23%\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/table\u003e\n\u003c/div\u003e\n\u003cbr /\u003e\n\nNames and Frames\n```python\nnames = dataframes.names\nframes = dataframes.frames\n```\n\nMultiple Dataframes Types\n```python\ndataframes.dtypes()\n```\n\nMultiple Missing Values\n```python\ndataframes.multiple_missing()\n```\n\nMultiple Descriptions\n```python\ndataframes.describe()\n```\n\n![](img/first_use.png)\n![](img/describe.png)\n![](img/memory_usage.png)\n\nFor more concrete examples, check the [notebook](Example.ipynb)\n\n## Contributing\n\n1. Fork it (https://github.com/igormagalhaesr/dexter)\n2. Create your feature branch (`git checkout -b feature/fooBar`)\n3. Commit your changes (`git commit -am 'Add some fooBar'`)\n4. Push to the branch (`git push origin feature/fooBar`)\n5. Create a new Pull Request\n\n## Dependencies\n\n- [NumPy](https://www.numpy.org)\n- [Pandas](https://pandas.pydata.org/)\n- [IPython](https://ipython.org/)\n\n## License\n\nDistributed under the [BSD 3](LICENSE.txt) license. See ``LICENSE.txt`` for more information. \n\n## Contact\n\nIgor Magalhaes – [@igormagalhaesr](https://twitter.com/igormagalhaesr) – igormagalhaesr@gmail.com\n\n[github.com/igormagalhaesr](https://github.com/igormagalhaesr/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figorbenav%2Fdexter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Figorbenav%2Fdexter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Figorbenav%2Fdexter/lists"}