A package for processing FCS files
Project description
fcsy: Python package for processing FCS
fcsy is developed based on Data File Standard for Flow Cytometry Version FCS 3.1
Installation
$ pip install fcsy
for working with s3:
$ pip install fcsy[s3]
Usage
Write and read fcs based on Dataframe
>>> import pandas as pd
>>> from fcsy import DataFrame
>>> data = [[1.0,2.0,3.0],[4.0,5.0,6.0]]
>>> columns = pd.MultiIndex.from_tuples(list(zip('abc', 'ABC')), names=["short", "long"])
>>> df = DataFrame(data, columns=columns)
>>> df
short a b c
long A B C
0 1.0 2.0 3.0
1 4.0 5.0 6.0
>>> df.to_fcs('sample.fcs')
>>> df = DataFrame.from_fcs('sample.fcs', channel_type='multi')
>>> df
short a b c
long A B C
0 1.0 2.0 3.0
1 4.0 5.0 6.0
Work with fcs metadata
Read fcs channels
>>> from fcsy import read_channels
>>> read_channels('sample.fcs', channel_type='multi')
MultiIndex([('a', 'A'),
('b', 'B'),
('c', 'C')],
names=['short', 'long'])
Rename channels
>>> from fcsy import rename_channels, read_channels
>>> rename_channels('sample.fcs', {'a': 'a_1', 'b': 'b_1'}, channel_type='short')
>>> read_channels('sample.fcs', channel_type='multi')
MultiIndex([('a_1', 'A'),
('b_1', 'B'),
( 'c', 'C')],
names=['short', 'long'])
>>> rename_channels('sample.fcs', {'A': 'A_1', 'C': 'C_1'}, channel_type='long')
>>> read_channels('sample.fcs', channel_type='multi')
MultiIndex([('a_1', 'A_1'),
('b_1', 'B'),
( 'c', 'C_1')],
names=['short', 'long'])
Read events number
>>> from fcsy import read_events_num
>>> read_events_num('sample.fcs')
2
Work with files on aws s3
All apis support s3 url with the format: s3://{bucket}/{key}
.
Write and read
>>> df.to_fcs('s3://sample-bucket/sample.fcs')
>>> df.from_fcs('s3://sample-bucket/sample.fcs', channel_type='multi')
short a b c
long A B C
0 1.0 2.0 3.0
1 4.0 5.0 6.0
Read channels
>>> read_channels('s3://sample-bucket/sample.fcs', channel_type='multi')
MultiIndex([('a', 'A'),
('b', 'B'),
('c', 'C')],
names=['short', 'long'])
Read events number
>>> read_events_num('s3://sample-bucket/sample.fcs')
2
Documentation
The documentation is available on https://fcsy.readthedocs.io/
License
- Free software: MIT license
History
Consult the Releases page for fixes and enhancements of each version.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fcsy-0.10.0.tar.gz
(22.4 kB
view details)
Built Distribution
fcsy-0.10.0-py2.py3-none-any.whl
(11.0 kB
view details)
File details
Details for the file fcsy-0.10.0.tar.gz
.
File metadata
- Download URL: fcsy-0.10.0.tar.gz
- Upload date:
- Size: 22.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4604002c44acc793cb2ef9842cb85698366c57c1a507d5acc7a196a728a9607e |
|
MD5 | 0296228cb5bb369505199f23036eabbe |
|
BLAKE2b-256 | 579fa2dd7d248d3703d8ec1b07da541de5173510b22c4fe053974d37e4d320e0 |
File details
Details for the file fcsy-0.10.0-py2.py3-none-any.whl
.
File metadata
- Download URL: fcsy-0.10.0-py2.py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5af3803071d35a32f6875878e0a6cb96bb8a33b61bac21569683b7e687f7f390 |
|
MD5 | 4075f4523195b2ca9f29646221de1108 |
|
BLAKE2b-256 | 09b4922a1c851f41b1ed011b5a4a63e5690012395409b7f845d20ed8be65fe04 |