pandas_access | based tool for reading MS Access database | Database library

by jbn Python Version: 0.0.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pandas_access Summary

pandas_access is a Python library typically used in Database applications. pandas_access has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pandas_access' or download it from GitHub, PyPI.

A tiny, subprocess-based tool for reading a MS Access database (.rdb) as a Pandas DataFrame.

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Quality

Security

License

Reuse

Support

pandas_access has a low active ecosystem.

It has 29 star(s) with 22 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 1 have been closed. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pandas_access is 0.0.1

Quality

pandas_access has 0 bugs and 1 code smells.

Security

pandas_access has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pandas_access code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pandas_access is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pandas_access releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 79 lines of code, 6 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pandas_access and discovered the below as its top functions. This is intended to give you an instant insight into pandas_access implemented functionality, and help decide if they suit your requirements.

Read a table as a pandas DataFrame
Convert a schema to a pandas schema
Parse md5 - schema from md - schema file
Extract dtype from data - type
Extract the definitions from a string

Get all kandi verified functions for this library.

pandas_access Key Features

No Key Features are available at this moment for pandas_access.

pandas_access Examples and Code Snippets

No Code Snippets are available at this moment for pandas_access.

Community Discussions

Trending Discussions on pandas_access

how to override a method defined at __init__.py?

QUESTION

how to override a method defined at __init__.py?

Asked 2018-Dec-20 at 17:13

I'm trying to use a module (pandas_access) witch has an issue on a method (_extract_dtype) defined at __init__.py

What is the proper way (or any) to overwrite a method defined on __init__.py?

...

ANSWER

Answered 2018-Dec-20 at 17:13

You can just "monkey patch" the method e.g.

Source https://stackoverflow.com/questions/53872988

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pandas_access

To read the database, this package (thinly!) wraps MDBTools. Since I assume you're already using Pandas, it should be your only installation requirement.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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