v0.3.0
Stats
LibX
A powerful, modern, and accessible statistical analysis library for Python. From descriptive to computational statistics, all in one library.
$pip install statslibx
6+Modules
40+Methods
6Built-in Datasets
v0.3.0Version
ViewXIntegration
Built-in Modules
Everything you need for statistical analysis in one place.
Quick Start
Get up and running with just a few lines of code.
example.py
from statslibx import DescriptiveStats, InferentialStats
from statslibx.datasets import load_iris
data = load_iris()
ds = DescriptiveStats(data)
print(ds.summary())
print(ds.correlation(method='pearson'))
inf = InferentialStats(data)
ci = inf.confidence_interval(column='sepal_length', statistic='mean')Built-in Datasets
Ready-to-use datasets for immediate analysis and experimentation.
iris.csv
penguins.csv
titanic.csv
sp500_companies.csv
course_completion.csv
Cocoa_Bubbles_Investment_Nigeria_Ghana_1980_2023.xlsx