This library generates different graphics of numerical variables from a csv file.
Project description
Izandescriptive: powerful PyPi data analysis package
What is it?
Izandescriptive is a PyPi library that provides fast and easy to undersand data analysis. It aims to speed up the exploratory analysis process. It performs different graphs of the numerical variables in a single function called graphic().
Main Features
Here are just a few of the things that izandescriptive does well:
- Easy handling of reading csv.
- Selects numerical variables from the dataframe.
- Creates histograms, raincloud graphs and a heatmap graph.
Class desc_analysis():
You can define the following class name desc_analysis
Attributes
This class will have an attibute called data
- data : this attribute reads a csv and selects the numeric variables
Methods
- graphic : The class desc_analysis has one method graphic. This method will take an argument wich is data defined in the previous attribute.
Dependencies
Using the library
Installation
pip install izandescriptive
Import
from izandescriptive import class_descriptives
Intance attributes and init the method
c1=desc_analysis('example.csv')
c1.graphic()
Example
This would be the result of the desc_analysis class.
Histograms
Raincloud
Heatmap
Where to get the library
The library is currently hosted on PyPi at: https://pypi.org/project/izandescriptive/
Project details
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