Installation

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 get-pip.py 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 python.org, which include pip by default.

pip3 install EzPyZ

wget https://raw.githubusercontent.com/EGuthrieWasTaken/EzPyZ/main/source_install.py
python3 source_install.py

cd EGuthrieWasTaken-EzPyZ-[commit_id]/
python3 setup.py install

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 EzPyZ.tools 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

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…