Nightingale

I named this package Nightingale in honour of Florence Nightingale, The lady with the data.

Installation

You can use pip to install Nightingale:

pip install nightingale

Usage

Population Proportion

from nightingale import get_sample_size, PopulationProportion, get_z_score

print('z-score for 0.95 confidence:', get_z_score(confidence=0.95))
print('sample size:', get_sample_size(confidence=0.95, error_margin=0.05, population_size=1000))
print('with 10% group proportion:', get_sample_size(confidence=0.95, error_margin=0.05, population_size=1000, group_proportion=0.1))

population_proportion = PopulationProportion(sample_n=239, group_proportion=0.5)
print('error:', population_proportion.get_error(confidence=0.95))

Ordinary Least Squares (OLS)

import pandas as pd
import numpy as np
from nightingale import OrdinaryLeastSquares

data = pd.DataFrame({
    'x': np.random.normal(size=20, scale=5), 
    'y': np.random.normal(size=20, scale=5),
})
data['z'] = data['x'].values + data['y'].values + np.random.normal(size=20, scale=1)
print('data:')
display(data.head())

ols = OrdinaryLeastSquares(data=data, formula='z ~ x + y')
print('ols results:')
display(ols.table)

print('r-squared:', ols.r_squared)
print('adjusted r-squared:', ols.adjusted_r_squared)

ANOVA

References

z-score: https://stackoverflow.com/questions/20864847/probability-to-z-score-and-vice-versa-in-python

Release files for nightingale 1.3

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

Source distribution (sdist)

Source distribution for nightingale 1.3
File	Size	Uploaded
nightingale-1.3.tar.gz	3.8 kB	May 27, 2019	Details

Built distribution (wheel)

Table of built distributions (wheels) for nightingale 1.3
File	Interpreter	ABI	Platform	Reset
nightingale-1.3-py3-none-any.whl 6.1 kB May 27, 2019	Python 3	none	any	Details

Total release size: 9.9 kB

Release files / nightingale-1.3.tar.gz

Download URL	nightingale-1.3.tar.gz
Size	3.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`9ece9df88be0200325d31cfc4d1439ed0afab2a990c074cac6e88e205d941980`
BLAKE2b-256 checksum How to use checksums	`ecbb1e1b1c6f64144f132e5a297c2255c8e89cb4dd17fed63dc8b7afd344ffd5`
Upload date	May 27, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.5`

Release files / nightingale-1.3-py3-none-any.whl

Download URL	nightingale-1.3-py3-none-any.whl
Size	6.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9566a618020c617cbad65736fc7389956cfaca2ea39660f97bd1259d08360517`
BLAKE2b-256 checksum How to use checksums	`fd161e9fb862f3dd983dcf97849b64a9194e5b0df6cd1d7f59e8666ce8b73ba4`
Upload date	May 27, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.5`