csvfilter | Command-line tool for manipulating CSV data | CSV Processing library

by codeinthehole Python Version: 0.3.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | csvfilter Summary

csvfilter is a Python library typically used in Utilities, CSV Processing applications. csvfilter 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 csvfilter' or download it from GitHub, PyPI.

Command-line tool for manipulating CSV data

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Quality

Security

License

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Support

csvfilter has a low active ecosystem.

It has 71 star(s) with 14 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 5 have been closed. On average issues are closed in 118 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of csvfilter is 0.3.1

Quality

csvfilter has 0 bugs and 0 code smells.

Security

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

csvfilter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

csvfilter 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

csvfilter releases are available to install and integrate.

Deployable package is available in PyPI.

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

It has 128 lines of code, 19 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Process the CSV data .
Initialize the QuerySet .
Returns True if row is valid .
Add a validator .

Get all kandi verified functions for this library.

csvfilter Key Features

No Key Features are available at this moment for csvfilter.

csvfilter Examples and Code Snippets

No Code Snippets are available at this moment for csvfilter.

Community Discussions

Trending Discussions on csvfilter

Removing columns from csv when cut and csvfilter both stop before finishing

Not able to retain the corrupted rows in pyspark using PERMISSIVE mode

QUESTION

Removing columns from csv when cut and csvfilter both stop before finishing

Asked 2021-Dec-21 at 21:05

I'm trying to take a large csv file (800,000 rows, 160 columns). I'm trying to remove select columns, but keep all rows. I've tried two different methods--the standard cut command, and csvfilter--but neither of them will return all rows. In fact, they both return different numbers of rows, with cut returning a dozen or so more than csvfilter, but both a little over 4000.

I've looked at the original csv to try to see what might be making it choke, but I can't see anything: no quote marks in the row, no special characters.

Can anyone suggest a reliable method to remove columns from a csv or a way to more effectively troubleshoot csvfilter and/or cut? I'm mostly working on a Mac, but can work on Windows as well.

...

ANSWER

Answered 2021-Dec-21 at 21:05

I recommend GoCSV's select command. It's already built for macOS/darwin, so go straight to the latest release and downloading the binary of your choosing.

I'm not sure why csvfilter would truncate your file. I'm especially skeptical that cut would eliminate any line, but I haven't tried 800K lines before.

Testing cut; comparing GoCSV

Here's a Python script to generate a CSV, large.csv, that is 800_000 rows by 160 columns:

Source https://stackoverflow.com/questions/70440739

QUESTION

Not able to retain the corrupted rows in pyspark using PERMISSIVE mode

Asked 2021-Mar-02 at 12:10

I've been given a csv file on which I need to perform certain cleanup tasks using pyspark. Before the cleanup, I'm doing some schema validation check. Below is my code.

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ANSWER

Answered 2021-Mar-02 at 12:10

malformed_rows is the internal corrupt record column which is named by default _corrupt_record and you renamed with:

Source https://stackoverflow.com/questions/66437113

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

Vulnerabilities

No vulnerabilities reported

Install csvfilter

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