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EzPyZ-0.1.9
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مشاهده بیشترتوضیحات
An easy-to-use statistics package for Python 3.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | EzPyZ-0.1.9 |
| نام | EzPyZ |
| نسخه کتابخانه | 0.1.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Ethan Guthrie |
| ایمیل نویسنده | guthrieec@cofc.edu |
| آدرس صفحه اصلی | https://github.com/EGuthrieWasTaken/EzPyZ |
| آدرس اینترنتی | https://pypi.org/project/EzPyZ/ |
| مجوز | GNU GPLv3 |
.. |travis status| image:: https://img.shields.io/travis/com/EGuthrieWasTaken/EzPyZ/main
.. |pypi version| image:: https://img.shields.io/pypi/v/EzPyZ
.. |license| image:: https://img.shields.io/pypi/l/EzPyZ
.. |pypi status| image:: https://img.shields.io/pypi/status/EzPyZ
.. |code size| image:: https://img.shields.io/github/languages/code-size/EGuthrieWasTaken/EzPyZ
.. |downloads| image:: https://img.shields.io/pypi/dw/EzPyZ
.. |python versions| image:: https://img.shields.io/pypi/pyversions/EzPyZ
.. |pypi format| image:: https://img.shields.io/pypi/format/EzPyZ
.. |readthedocs status| image:: https://readthedocs.org/projects/ezpyz/badge/?version=latest
============================================================
EzPyZ |travis status| |pypi version| |license| |pypi status|
============================================================
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 <https://github.com/mike-lawrence/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 `get-pip.py <https://pip.pypa.io/en/stable/installing/>`_ and running that python file (Windows/MacOS/Linux/BSD), or you can run the following command in terminal (Linux/BSD):
.. code:: bash
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:
.. code:: bash
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 <https://www.python.org/downloads/)>`_, **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:
.. code:: bash
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:
.. code:: bash
wget https://raw.githubusercontent.com/EGuthrieWasTaken/EzPyZ/main/source_install.py
python3 source_install.py
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:
.. code:: bash
cd EGuthrieWasTaken-EzPyZ-[commit_id]/
python3 setup.py 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``:
.. code:: python3
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``:
.. code:: python3
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:
.. code:: python3
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 |readthedocs status|
----------------------------------
Documentation for this project can be found on `Read the Docs <https://ezpyz.readthedocs.io/en/latest>`_. Otherwise, feel free to browse the source code within the repository! It is (hopefully) well-documented...
نیازمندی
| مقدار | نام |
|---|---|
| ==1.19.4 | numpy |
| ==1.1.4 | pandas |
| ==2.8.1 | python-dateutil |
| ==2020.4 | pytz |
| ==1.15.0 | six |
| ==1.2.0 | xlrd |
نحوه نصب
نصب پکیج whl EzPyZ-0.1.9:
pip install EzPyZ-0.1.9.whl
نصب پکیج tar.gz EzPyZ-0.1.9:
pip install EzPyZ-0.1.9.tar.gz