meza | A Python toolkit for processing tabular data | Data Visualization library
kandi X-RAY | meza Summary
kandi X-RAY | meza Summary
meza is a Python library typically used in Analytics, Data Visualization applications. meza 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 meza' or download it from GitHub, PyPI.
A Python toolkit for processing tabular data
A Python toolkit for processing tabular data
Support
Quality
Security
License
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Support
meza has a low active ecosystem.
It has 376 star(s) with 24 fork(s). There are 16 watchers for this library.
It had no major release in the last 12 months.
There are 15 open issues and 8 have been closed. On average issues are closed in 54 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of meza is 0.46.0
Quality
meza has 0 bugs and 0 code smells.
Security
meza has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
meza code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
meza 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
meza 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.
meza saves you 1477 person hours of effort in developing the same functionality from scratch.
It has 3348 lines of code, 263 functions and 19 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed meza and discovered the below as its top functions. This is intended to give you an instant insight into meza implemented functionality, and help decide if they suit your requirements.
- Convert GeoJSON records to geojson
- Generate features
- Generate subresults
- Return an OrderedDict based on the given order
- Read HTML file
- Slugify content
- Removes duplicates from a list
- Find the first matching function
- Return a filtered list of records
- Combine two values
- Read a GeoJSON file
- Read a fixed format table
- Convert records to pandas DataFrame
- Return a boolean value
- Generate a file path
- Convert string to an integer
- Get the separators from a string
- Hash a file
- Convert a list of records into a csv
- Write content to file
- Detects the types of the records
- Read an md5 file
- Fetch a list of records
- Yield records from the given records
- Perform a pivot function
- Read an XLS file
Get all kandi verified functions for this library.
meza Key Features
No Key Features are available at this moment for meza.
meza Examples and Code Snippets
No Code Snippets are available at this moment for meza.
Community Discussions
Trending Discussions on meza
QUESTION
String contains an invalid character when running gatsby develop
Asked 2021-Aug-28 at 09:17
I'm building a gatsby web app, I was working with wsl on windows, and it was working well, I even deployed it to a github pages repository, which worked fine, but then I decided I didn't need to use wsl anymore, so I uninstalled it, cloned the git repository and tried to build the app using gatsby develop but in the localhost page it shows this error with no more context:
ANSWER
Answered 2021-Aug-27 at 11:50Move site into allFile query or file query
QUESTION
Define types directly in tuple like SML?
Asked 2021-Mar-17 at 05:17
I remember this from SML and The Little MLer
...ANSWER
Answered 2021-Mar-17 at 05:17You say this doesn't work:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install meza
You can install using 'pip install meza' or download it from GitHub, PyPI.
You can use meza like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use meza like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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 .
Find more information at:
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