Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Refactor and reformat text data

Project description

### Installation:

$ pip install sliders

## text2table

### Description: Command-line tool to convert structured text data into CSV format. Currently includes built-in support for fastqc and samtools flagstat files. You can also provide a custom JSON file with instructions for parsing your text files. Text2table is a front-end tool for using the flextableparser python module.

### Usage:
# Convert a fastqc file into CSV format $ text2table –schema=fastqc # Write parsed CSV data to a file (1) $ text2table –schema=fastqc 2>&1 > fastqc.csv # Write parsed CSV data to a file (2) $ text2table –schema=fastqc –output_file=out.csv # Parse multiple input files $ text2table –schema=fastqc # Provide static values to be added as columns $ text2table –schema=fastqc –output_file=out.csv –static_values=series=test,sample=A # For debugging, only write log messages to the console $ text2table –schema=fastqc 2>&1 >/dev/null

## flextableparser

### Description: Python module for converting structred text data to CSV format.

### Usage:
>>> from sliders import flextableparser
>>> parser = flextableparser.FlexTableParser()
>>> parser.configure(json_file)
>>> parser.add_static_value(key, value)
>>> parser.parse_file(input_file)
>>> output = parser.parse_file(input_file)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for sliders, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size sliders-0.2.1.tar.gz (153.7 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page