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An easy-to-use statistics package for Python 3.

Project description

Welcome to EzPyZ! This project seeks to provide an easy-to-use statistical library for Python 3. This project was inspired in concept by the ez library available in R.

This project is under development, and will likely not work as intended. You have been warned.

Installation code size downloads python versions pypi format

This package is installed using pip. Pip should come pre-installed with all versions of Python for which this package is compatible. Nonetheless, if you wish to install pip, you can do so by downloading and running that python file (Windows/MacOS/Linux/BSD), or you can run the following command in terminal (Linux/BSD):

sudo apt install python3-pip

If you’re using brew (most likely for MacOS), you can install pip (along with the rest of Python 3) using brew:

brew install python3

Note: The creator of this software does not recommend the installation of python or pip using brew, and instead recommends that Python 3.7+ be installed using the installation candidates found on, which include pip by default.

Using Pip to install from PyPi

Fetching this repository from PyPi is the recommended way to install this package. From your terminal, run the following command:

pip3 install EzPyZ

And that’s it! Now you can go right ahead to the quick-start guide!

Install from Source

Not a big fan of pip? Well, you’re weird, but weird is OK! I’ve written a separate script to help make installation from source as easy as possible. To start, download the installation script and run it:


After completing, the script will have downloaded the latest tarball release and extracted it into the working directory. Now, all you have to do is switch into the newly-extracted directory and run the install command:

cd EGuthrieWasTaken-EzPyZ-[commit_id]/
python3 install

Congratulations, you just installed EzPyZ from source! Feel free to check out the quick-start guide!

Quick-Start Guide

Now that you have the package installed, getting started with the package should be easy! You can start with importing the package and creating a DataFrame:

import EzPyZ as ez

# Create new dataframe.
raw_data = {
    'height (cm)': [134, 168, 149, 201, 177],
    'weight (kg)': [32.2, 64.3, 59.9, 95.4, 104.2]
df = ez.DataFrame(data=raw_data)

Already have a pandas.DataFrame object? Great! You can create an EzPyZ.DataFrame object with an existing pandas.DataFrame:

import EzPyZ as ez
import pandas as pd

# Create new dataframe.
raw_data = {
    'height (cm)': [134, 168, 149, 201, 177],
    'weight (kg)': [32.2, 64.3, 59.9, 95.4, 104.2]
pandas_df = pd.DataFrame(raw_data)
df = ez.DataFrame(data=pandas_df)

Of course, most of the time you will not be hard-coding your data directly. Fortunately this package comes with tools to help with that as well! Check it out:

import EzPyZ as ez
from import read_file

df = ez.DataFrame(data=read_file("bmi_data.csv")) # A bmi_data.xlsx would also work here.

That should be enough to get you off the ground! To learn more, check out the documentation.

Documentation readthedocs status

Documentation for this project can be found on Read the Docs. Otherwise, feel free to browse the source code within the repository! It is (hopefully) well-documented…

Project details

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Files for EzPyZ, version 0.1.9
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Filename, size EzPyZ-0.1.9-py3-none-any.whl (27.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size EzPyZ-0.1.9.tar.gz (26.6 kB) File type Source Python version None Upload date Hashes View

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