PYRSM

Python functions and classes for Business Analytics at the Rady School of Management (RSM), University of California, San Diego (UCSD).

Features

Basics Module - Statistical tests and analyses:

compare_means - Compare means across groups (t-tests, ANOVA)
compare_props - Compare proportions between groups
correlation - Correlation analysis with significance tests
cross_tabs - Cross-tabulation with chi-square tests
goodness - Goodness of fit tests
single_mean - Single sample mean tests
single_prop - Single sample proportion tests
prob_calc - Probability calculator for common distributions

Model Module - Regression and machine learning:

regress - Linear regression with statsmodels
logistic - Logistic regression with statsmodels
mlp - Multi-layer perceptron (neural network) with sklearn
rforest - Random forest with sklearn
xgboost - XGBoost gradient boosting

EDA Module - Exploratory data analysis:

explore - Data exploration and summary statistics
pivot - Pivot tables
visualize - Data visualization

All modules use Polars DataFrames and plotnine for visualization.

Installation

Requires Python 3.12+ and UV:

mkdir ~/project
cd ~/project
uv init .
uv venv --python 3.13
source .venv/bin/activate
uv add pyrsm

For machine learning models, install with extras:

uv add "pyrsm[ml]"

For all features:

uv add "pyrsm[all]"

Quick Start

import polars as pl
from pyrsm import basics, model

# Load data
df = pl.read_parquet("data.parquet")

# Statistical test
cm = basics.compare_means(df, var="price", byvar="category")
cm.summary()
cm.plot()

# Regression model
reg = model.regress(df, rvar="price", evar=["size", "age", "type"])
reg.summary()
reg.plot()

Examples

Extensive example notebooks are available at: https://github.com/radiant-ai-hub/pyrsm/tree/main/examples

License

This project is licensed under the GNU Affero General Public License v3.0.

Release files for pyrsm 2.4.1

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

Source distribution (sdist)

Source distribution for pyrsm 2.4.1
File	Size	Uploaded
pyrsm-2.4.1.tar.gz	189.4 kB	Mar 4, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for pyrsm 2.4.1
File	Interpreter	ABI	Platform	Reset
pyrsm-2.4.1-py3-none-any.whl 167.0 kB Mar 4, 2026	Python 3	none	any	Details

Total release size: 356.4 kB

Release files / pyrsm-2.4.1.tar.gz

Download URL	pyrsm-2.4.1.tar.gz
Size	189.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`d3d8741f20b00288744c7158e3fce5f39771550fab86f7b91f5bb0ea341470ac`
BLAKE2b-256 checksum How to use checksums	`43761c96d7be81433a35495ecad1b2a66f10a260161a9dddee2daf57824ab168`
Upload date	Mar 4, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.11`

Release files / pyrsm-2.4.1-py3-none-any.whl

Download URL	pyrsm-2.4.1-py3-none-any.whl
Size	167.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5b0045ac07d283fb8ea04f1248253127c0fd126526eabbd9bfaa8740d0f2d6ab`
BLAKE2b-256 checksum How to use checksums	`a4379eabba911f456ff594f9fbc60c18604eeba65121719de894cac09c3653a0`
Upload date	Mar 4, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.11`