https://github.com/biocpy/biocutils

Miscellaneous utilities for BiocPy, mostly to mimic base functionality in R.
https://github.com/biocpy/biocutils

Last synced: about 2 months ago
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Miscellaneous utilities for BiocPy, mostly to mimic base functionality in R.

• Host: GitHub
• URL: https://github.com/biocpy/biocutils
• Owner: BiocPy
• License: mit
• Created: 2023-09-13T23:42:25.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-01-19T06:37:57.000Z (over 1 year ago)
• Last Synced: 2024-08-09T08:58:11.865Z (9 months ago)
• Language: Python
• Homepage: https://biocpy.github.io/BiocUtils/
• Size: 525 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Authors: AUTHORS.md

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README

        


# Utilities for BiocPy

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## Motivation

This repository contains a variety of simple utilities for the [BiocPy](https://github.com/BiocPy) project,

mostly convenient aspects of R that aren't provided by base Python.

The aim is to simplify development of higher-level packages like [**scranpy**](https://github.com/BiocPy/scranpy) and [**singler**](https://github.com/BiocPy/singler)

that would otherwise have to implement these methods individually.

## Available utilities

### `match`

```python

import biocutils

biocutils.match(["A", "C", "E"], ["A", "B", "C", "D", "E"])

## [0, 2, 4]

```

### `factor`

```python

import biocutils

biocutils.factor(["A", "B", "B", "A", "C", "D", "C", "D"])

## (['A', 'B', 'C', 'D'], [0, 1, 1, 0, 2, 3, 2, 3])

```

### `intersect`

```python

import biocutils

biocutils.intersect(["A", "B", "C", "D"], ["D", "A", "E"])

## ['A', 'D']

```

### `union`

```python

import biocutils

biocutils.union(["A", "B", "C", "D"], ["D", "A", "E"])

## ['A', 'B', 'C', 'D', 'E']

```

### `subset`

```python

import biocutils

biocutils.subset(["A", "B", "C", "D", "E"], [0, 2, 4])

## ['A', 'C', 'E']

import numpy as np

y = np.array([10, 20, 30, 40, 50])

biocutils.subset(y, [0, 2, 4])

## array([10, 30, 50])

```

### `is_list_of_type`

Checks if all elements of a list or tuple are of the same type.

```python

import biocutils

import numpy as np

x = [np.random.rand(3), np.random.rand(3, 2)]

biocutils.is_list_of_type(x, np.ndarray)

## True

```