Golden Ratio in Statistics
Project description
Golden Ratio in Statistics
To determine skewness, mean and deviation with a new approach on continuous data
Installation
pip install golden-ratio-in-statistics
Get started
How to get GRiS result for dataset with this lib:
# Library import
from golden_ratio_stats.golden_ratio_approch import GoldenRatio
# This line of code will allow shorter imports
from golden_ratio_stats import GoldenRatio
# Instantiate a GoldenRatio object
"""Firstly, import the excel file, then run the library
P.S. Excel file must include name of each column. Like that;
name1 name2 name3 name4 ...
73,36 72,64 68,45 66,52 ...
78,97 67,04 60,85 70,96 ...
... ... ... ... ...
"""
import os
import pandas as pd
path = r'C:\data'
os.chdir(path)
df = pd.read_excel("my_dataset.xlsx")
# GRiS output
print(GoldenRatio(df))
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for golden_ratio_stats-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 277ae9bc6cab867ca42240148fb77128f55dbb74a012a0679253bd899175c6e9 |
|
MD5 | 6d5e34e207955b877f2ab26b012ec8b8 |
|
BLAKE2b-256 | 78f8629a84009c16946a5a79808a46ebf0fedcf78e44fd243e23660263bc982d |