{"id":18614001,"url":"https://github.com/enthought/pandas_access","last_synced_at":"2025-11-03T02:30:39.664Z","repository":{"id":66039667,"uuid":"202786536","full_name":"enthought/pandas_access","owner":"enthought","description":"Default Repo description from terraform module","archived":false,"fork":false,"pushed_at":"2019-10-07T20:34:21.000Z","size":10,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":17,"default_branch":"master","last_synced_at":"2024-12-27T02:42:50.808Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/enthought.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-08-16T19:20:45.000Z","updated_at":"2021-06-01T16:31:27.000Z","dependencies_parsed_at":"2023-05-02T15:16:31.792Z","dependency_job_id":null,"html_url":"https://github.com/enthought/pandas_access","commit_stats":null,"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fpandas_access","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fpandas_access/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fpandas_access/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2Fpandas_access/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enthought","download_url":"https://codeload.github.com/enthought/pandas_access/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239406446,"owners_count":19633024,"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","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":[],"created_at":"2024-11-07T03:24:40.332Z","updated_at":"2025-11-03T02:30:39.634Z","avatar_url":"https://github.com/enthought.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# What is this?\n\nA tiny, `subprocess`-based tool for reading a \n[MS Access](https://products.office.com/en-us/access) \ndatabase (`.rdb`) as a [Pandas](http://pandas.pydata.org/) \n[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html). \n\n## Installation\n\nTo read the database, this package (thinly!) wraps \n[MDBTools](http://mdbtools.sourceforge.net/). Since I assume you're already \nusing Pandas, it should be your only installation requirement. \n\nIf you are on `OSX`, install it via [Homebrew](http://brew.sh/):\n\n```sh\n$ brew install mdbtools\n```\nThen, do,\n```sh\n$ pip install pandas_access\n```\n\n## Usage\n\n```python\nimport pandas_access as mdb\n\n# Listing the tables.\nfor tbl in mdb.list_tables(\"my.mdb\"):\n    print(tbl)\n    \n# Read a small table.\ndf = pandas_access.read_table(\"my.mdb\", \"MyTable\")\n\n# Read a huge table.\naccumulator = []\nfor chunk in pandas_access.read_table(\"my.mdb\", \"MyTable\", chunksize=10000):\n    accumulator.append(f(chunk))\n```\n\nIf you need more power than this, see: \n[pyodbc](https://github.com/mkleehammer/pyodbc).\n\n## Testing\n\nI needed this code in a quick pinch -- I had no access to MS Access, and I had\na single `.mdb` file. If someone with Access would like to create a tiny \ndatabase for unit-testing purposes, I'd be much obliged. \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fpandas_access","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenthought%2Fpandas_access","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fpandas_access/lists"}