pandavro | Apache Avro <-> pandas DataFrame

by ynqa Python Version: 1.8.0 License: MIT

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

kandi X-RAY | pandavro Summary

pandavro is a Python library typically used in Big Data, Pandas, Spark applications. pandavro 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 pandavro' or download it from GitHub, PyPI.

It prepares like pandas APIs:.

Support

Quality

Security

License

Reuse

Support

pandavro has a low active ecosystem.

It has 117 star(s) with 27 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 6 have been closed. On average issues are closed in 52 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pandavro is 1.8.0

Quality

pandavro has 0 bugs and 2 code smells.

Security

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

pandavro code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pandavro 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

pandavro releases are available to install and integrate.

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.

pandavro saves you 129 person hours of effort in developing the same functionality from scratch.

It has 325 lines of code, 20 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Write a DataFrame to a fastav file
Infer the type of a complex field
Return the schema for a DataFrame
Infer the type of a NumPy array
Convert fields to millis
Preprocess a dictionary
Infer inferred fields
Load a numpy array from a file
Read data from a fastavro file
Read data from a file

Get all kandi verified functions for this library.

pandavro Key Features

No Key Features are available at this moment for pandavro.

pandavro Examples and Code Snippets

No Code Snippets are available at this moment for pandavro.

Community Discussions

Trending Discussions on pandavro

Create dataframe from a dictionary in python when the key is a byte?

QUESTION

Create dataframe from a dictionary in python when the key is a byte?

Asked 2020-Aug-25 at 09:35

I want to create a dataframe from spesific data inside a dictionary. The key is a byte, and I don't understand how to get the information "out of the byte in a usefull way". If I can get the data I need into a dataframe I would know how to handle it (sort, plot etc.)

I have this dictionary:

...

ANSWER

Answered 2020-Aug-25 at 09:13

Convert the byte string to a string, evaluate it and convert it into a dataFrame:

Source https://stackoverflow.com/questions/63574833

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

Vulnerabilities

No vulnerabilities reported

Install pandavro

pandavro is available to install from PyPI.

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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