csverve 0.3.8

Description:

csverve 0.3.8

csverve



Csverve, pronounced like “swerve” with a “v”, is a package for manipulating tabular data.

Free software: MIT license
Documentation: https://csverve.readthedocs.io.


Features

Take in a regular gzipped CSV file and convert it to csverve format
Merge gzipped CSZ files
Concatenate gzipped CSV files (handles large datasets)
Rewrite a gzipped CSV file (delete headers etc.)
Annotate - add a column based on provided dictionary
Write pandas DataFrame to csverve CSV
Read a csverve CSV



Requirements
Every gzipped CSV file must be accompanied by a meta YAML file. The meta yaml file must have the exact name as the
gzipped CSV file, with the addition of a .yaml ending.

csv.gz.yaml must contain:

column names
dtypes for each column
separator
header (bool) to specify if file has header or not

Example:
columns:
- dtype: int
name: prediction_id
- dtype: str
name: chromosome_1
- dtype: str
name: strand_1
header: true
sep: "\t"



Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.



History
0.1.0 (2020-12-16)

First release on PyPI.