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BiocFrame

This package provides BiocFrame class, an alternative to Pandas DataFrame's.

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.

To get started, install the package from PyPI

pip install biocframe

Usage

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.

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 0.3.20

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