https://github.com/wd60622/pandas-bootstrap

Statistical Bootstrap in Pandas
https://github.com/wd60622/pandas-bootstrap

bootstrap data-science pandas python statistical-analysis statistics

Last synced: 3 months ago
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Statistical Bootstrap in Pandas

• Host: GitHub
• URL: https://github.com/wd60622/pandas-bootstrap
• Owner: wd60622
• License: mit
• Created: 2023-07-10T17:46:45.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-17T17:30:26.000Z (10 months ago)
• Last Synced: 2024-09-19T18:07:33.992Z (3 months ago)
• Topics: bootstrap, data-science, pandas, python, statistical-analysis, statistics
• Language: Python
• Homepage: https://wd60622.github.io/pandas-bootstrap/
• Size: 3.21 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Pandas Bootstrap

[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)

[![Tests](https://github.com/wd60622/pandas-bootstrap/actions/workflows/tests.yml/badge.svg)](https://github.com/wd60622/pandas-bootstrap/actions/workflows/tests.yml) 

[![PyPI version](https://badge.fury.io/py/pandas-bootstrap.svg)](https://badge.fury.io/py/pandas-bootstrap) 

[![docs](https://github.com/wd60622/pandas-bootstrap/actions/workflows/docs.yml/badge.svg)](https://wd60622.github.io/pandas-bootstrap/)

[![codecov](https://codecov.io/gh/wd60622/pandas-bootstrap/graph/badge.svg?token=WEJBSBMTYN)](https://codecov.io/gh/wd60622/pandas-bootstrap)

Statistical Bootstrap with Pandas made easy.

## Installation

```bash

pip install pandas-bootstrap

```

## Usage

The module is very easy to use. 

1. `import bootstrap`

2. define statistic function: `def some_func(df: pd.DataFrame | pd.Series):`

3. get bootstrapped samples: `df.boot.get_samples(bfunc=some_func, B=100)`

Below is a simple example of bootstrapping the mean of two columns.

```python

import pandas as pd

import bootstrap

df = pd.DataFrame({

    'a': [1, 2, 3, 4, 5],

    'b': [6, 7, 8, 9, 10],

})

def mean_of_columns(df):

    return df.mean(numeric_only=True)

sample_kwargs = dict(random_state=42)

df_bootstrap = df.boot.get_samples(bfunc=mean_of_columns, B=5, sample_kwargs=sample_kwargs)

```

which results in:

```text 

          a    b

sample          

0       3.0  8.0

1       2.6  7.6

2       4.0  9.0

3       3.2  8.2

4       3.0  8.0

```

## Documentation

Read more in the [documentation](https://wd60622.github.io/pandas-bootstrap/)