Metadata-Version: 2.1
Name: MissingValuesGraph
Version: 4.0.0
Summary: Find the missing values for any dataframe/dataset
Home-page: https://github.com/sthirumoorthi/MissingValuesGraph
Author: Thirumoorthi S
Author-email: thirumoorthiksr@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown

# MissingValuesGraph
Find the missing values for any dataframe/dataset

## Installation

You can install the Missing Values Graph package from [PyPI](https://pypi.org/project/MissingValuesGraph/):

    python -m pip install MissingValuesGraph

The MissingValuesGraph is supported on Python 3.7 and above. Older versions of Python, including Python 2.7, are supported by version 1.0.0 of the reader.

## How to use

The MissingValuesGraph package is used in the pandas dataframes to find all the null values and display them in a graph with missing percentage

We need to have the object created for the class MissingValues

    df_miss = MissingValues(df)

where df_miss is the object name and df is the pandas dataframe.

Once the object is created, the function findMissingValues() needs to be invoked

    df_miss.findMissingValues()
  
## Output

![image](https://user-images.githubusercontent.com/90926526/158602355-0beced43-1203-4a9c-9ba1-97c6318c81bc.png)

![image](https://user-images.githubusercontent.com/90926526/158602440-0414b4c1-ad6c-46be-b6ef-9de777696ceb.png)


