fcsy
A package for processing FCS files.
Free software: MIT license
Installation
pip install fcsyUsage
Read a fcs file to pandas DataFrame.
import fcsy
df = fcsy.read_fcs('input_file')Read a fcs file with “long name”
df = fcsy.read_fcs('input_file', name_type='long')
# or only read the names
long_names = fcsy.read_fcs_names('input_file', name_type='long')Write a data frame to fcs. df.columns is written to both short and long names of the fcs.
fcsy.write_fcs(df, 'output_file')Write to fcs with “long name”. df.columns and long_names are written to short and long names of the fcs.
fcsy.write_fcs(df, 'output_file', long_names=['a','b','c'])Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2018-12-18)
First release on PyPI.
1 maintainer
Release files for fcsy 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fcsy-0.2.0.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fcsy-0.2.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 18.2 kB
Release files / fcsy-0.2.0.tar.gz
| Download URL | fcsy-0.2.0.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / fcsy-0.2.0-py2.py3-none-any.whl
| Download URL | fcsy-0.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 2 Python 3 |
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twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.14
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