Skip to main content

Project generated with PyScaffold PyPI-Server Unit tests

BiocFrame

This package provides

  • BiocFrame class, an alternative to Pandas DataFrame.

    BiocFrame makes no assumption on the types of the columns, the minimum requirement is each column implements length: __len__ and slice: __getitem__ dunder methods. This allows BiocFrame to accept nested representations or any supported class as columns.

  • Factor class, equivalent to R's factor.

    The aim is to encode a list of strings as integers for easier numerical analysis.

To get started, install the package from PyPI

pip install biocframe

BiocFrame

To construct a BiocFrame object, simply provide the data as a dictionary.

from random import random
from biocframe import BiocFrame

obj = {
    "ensembl": ["ENS00001", "ENS00002", "ENS00003"],
    "symbol": ["MAP1A", "BIN1", "ESR1"],
}
bframe = BiocFrame(obj)
print(bframe)
## output
BiocFrame with 3 rows and 2 columns
    ensembl symbol
    <list> <list>
[0] ENS00001  MAP1A
[1] ENS00002   BIN1
[2] ENS00003   ESR1

You can specify complex representations as columns, for example

obj = {
    "ensembl": ["ENS00001", "ENS00002", "ENS00002"],
    "symbol": ["MAP1A", "BIN1", "ESR1"],
    "ranges": BiocFrame({
        "chr": ["chr1", "chr2", "chr3"],
        "start": [1000, 1100, 5000],
        "end": [1100, 4000, 5500]
    }),
}

bframe2 = BiocFrame(obj, row_names=["row1", "row2", "row3"])
print(bframe2)
## output
BiocFrame with 3 rows and 3 columns
    ensembl symbol         ranges
    <list> <list>    <BiocFrame>
row1 ENS00001  MAP1A chr1:1000:1100
row2 ENS00002   BIN1 chr2:1100:4000
row3 ENS00002   ESR1 chr3:5000:5500

Properties

Properties can be accessed directly from the object, for e.g. column names, row names and/or dimensions of the BiocFrame.

# Dimensionality or shape
print(bframe.dims)

## output
## (3, 2)

# get the column names
print(bframe.column_names)

## output
## ['ensembl', 'symbol']

Setters

To set various properties

# set new column names
bframe.column_names = ["column1", "column2"]
print(bframe)
## output
BiocFrame with 3 rows and 2 columns
    column1 column2
    <list>  <list>
[0] ENS00001   MAP1A
[1] ENS00002    BIN1
[2] ENS00003    ESR1

To add new columns,

bframe["score"] = range(2, 5)
print(bframe)
## output
BiocFrame with 3 rows and 3 columns
    column1 column2   score
    <list>  <list> <range>
[0] ENS00001   MAP1A       2
[1] ENS00002    BIN1       3
[2] ENS00003    ESR1       4

Subset BiocFrame

Use the subset ([]) operator to slice the object,

sliced = bframe[1:2, [True, False, False]]
print(sliced)
## output
BiocFrame with 1 row and 1 column
    column1
    <list>
[0] ENS00002

This operation accepts different slice input types, you can either specify a boolean vector, a slice object, a list of indices, or row/column names to subset.

Combine

BiocFrame implements the combine generic from biocgenerics. To combine multiple objects,

bframe1 = BiocFrame(
    {
        "odd": [1, 3, 5, 7, 9],
        "even": [0, 2, 4, 6, 8],
    }
)

bframe2 = BiocFrame(
    {
        "odd": [11, 33, 55, 77, 99],
        "even": [0, 22, 44, 66, 88],
    }
)

from biocgenerics.combine import combine
combined = combine(bframe1, bframe2)

# OR an object oriented approach

combined = bframe1.combine(bframe2)
## output
BiocFrame with 10 rows and 2 columns
    odd   even
    <list> <list>
[0]      1      0
[1]      3      2
[2]      5      4
[3]      7      6
[4]      9      8
[5]     11      0
[6]     33     22
[7]     55     44
[8]     77     66
[9]     99     88

For more details, check out the BiocFrame class reference.

Factor

Convert a list into a Factor object,

from biocframe import Factor

f1 = Factor.from_list(["A", "B", "A", "B", "E"])
print(f1)
## output
Factor of length 5 with 3 levels
values: ['A', 'B', 'A', 'B', 'E']
levels: ['A', 'B', 'E']
ordered: False

The Factor class behaves as a list and most operations to slice or replace should work here. Check out the docs for more information!

Note

This project has been set up using PyScaffold 4.5. For details and usage information on PyScaffold see https://pyscaffold.org/.

Release files for biocframe 0.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for biocframe 0.4.0
File Size Uploaded
BiocFrame-0.4.0.tar.gz 40.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for biocframe 0.4.0
File Interpreter ABI Platform
BiocFrame-0.4.0-py3-none-any.whl Python 3 none any Details

Total release size: 60.5 kB

Release files / BiocFrame-0.4.0.tar.gz

Download URL BiocFrame-0.4.0.tar.gz
Size 40.3 kB
Tags Source
SHA-256 checksum
How to use checksums
2d6d10c490c0d3ec6f0d0964da973a4f76c53214722f575052a982cabc8d102e
BLAKE2b-256 checksum
How to use checksums
ae196ce3d4520fb24fb6c71c3853eb57565676a4e4d57e0c933b81e52f344e9e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Release files / BiocFrame-0.4.0-py3-none-any.whl

Download URL BiocFrame-0.4.0-py3-none-any.whl
Size 20.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5b7616da48e2a280b1e112c4cf078d5f61630024e011099ee98e266032c669a2
BLAKE2b-256 checksum
How to use checksums
7caaec28e900a21918726e6d74033c0435895e414923df1f24221dae58401d81
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Release history Release notifications | RSS feed

0.8.1

2 release files

0.8.0

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.6.3

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.11

2 release files

0.5.10

2 release files

0.5.9

2 release files

0.5.8

2 release files

0.5.7

2 release files

0.5.6

2 release files

0.5.5

2 release files

0.5.4

2 release files

0.5.3

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.1

2 release files

This release

0.4.0 This release

2 release files

0.3.20

2 release files

0.3.19

2 release files

0.3.18

2 release files

0.3.17

2 release files

0.3.16

2 release files

0.3.15

2 release files

0.3.14

2 release files

0.3.13

2 release files

0.3.12

2 release files

0.3.11

2 release files

0.3.10

2 release files

0.3.9

2 release files

0.3.8

2 release files

0.3.7

2 release files

0.3.6

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.16

2 release files

0.2.15

2 release files

0.2.13

2 release files

0.2.12

2 release files

0.2.11

2 release files

0.2.10

2 release files

0.2.9

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2

2 release files

0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page