csv2parquet | Convert a CSV to a parquet file

by cldellow Python Version: 0.0.9 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | csv2parquet Summary

csv2parquet is a Python library typically used in Big Data, Hadoop applications. csv2parquet 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 csv2parquet' or download it from GitHub, PyPI.

Convert a CSV to a parquet file. You may also find sqlite-parquet-vtable or parquet-metadata useful.

Support

Quality

Security

License

Reuse

Support

csv2parquet has a low active ecosystem.

It has 43 star(s) with 10 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 9 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of csv2parquet is 0.0.9

Quality

csv2parquet has 0 bugs and 14 code smells.

Security

csv2parquet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

csv2parquet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

csv2parquet is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

csv2parquet 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 are not available. Examples and code snippets are available.

csv2parquet saves you 206 person hours of effort in developing the same functionality from scratch.

It has 505 lines of code, 36 functions and 6 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed csv2parquet and discovered the below as its top functions. This is intended to give you an instant insight into csv2parquet implemented functionality, and help decide if they suit your requirements.

Convert a csv file to a CSV file
Get column names from a csv file
Sanitize column name
Returns the delimiter of a file
Main function for the function
Returns a dictionary of pyarrow types

Get all kandi verified functions for this library.

csv2parquet Key Features

No Key Features are available at this moment for csv2parquet.

csv2parquet Examples and Code Snippets

csv2parquet,Usage

Python

Lines of Code : 31

License : Permissive (Apache-2.0)

Copy

usage: csv2parquet [-h] [-n ROWS] [-r ROW_GROUP_SIZE] [-o OUTPUT] [-c CODEC]
                   [-i INCLUDE [INCLUDE ...] | -x EXCLUDE [EXCLUDE ...]]
                   [-R RENAME [RENAME ...]] [-t TYPE [TYPE ...]]
                   csv_file

positi

csv2parquet,Installing

Python

Lines of Code : 2

License : Permissive (Apache-2.0)

Copy

sudo pip install pyarrow csv2parquet

pipenv install

csv2parquet,Testing

Python

Lines of Code : 2

License : Permissive (Apache-2.0)

Copy

pylint csv2parquet
pytest

Community Discussions

Trending Discussions on csv2parquet

PySpark TypeErrors

QUESTION

PySpark TypeErrors

Asked 2020-Feb-20 at 22:15

Writing a simple CSV to Parquet conversion.

CSV file has a couple of Timestamps in it. Therefore I am getting type errors when I try to write.

To work around that, I tried implementing this line to identify the timestamp cols and perform a to_timestamp on them.

...

ANSWER

Answered 2020-Feb-20 at 22:15

After I modified the dataframe name to df2 for lines 3-6 below, seems to be working fine, and Athena is also returning results.

Source https://stackoverflow.com/questions/60310481

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

Vulnerabilities

No vulnerabilities reported

Install csv2parquet

You can install using 'pip install csv2parquet' or download it from GitHub, PyPI.
You can use csv2parquet 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 .

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