todo: add description
Project description
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.
Project details
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