DataframeProcessing

Handles NaN and Standardizes all values in a Dataframe


Keywords
StandardScaler, fill, na, pandas, dataframe
License
MIT
Install
pip install DataframeProcessing==0.0.1

Documentation

DataframeProcessing

Handles NaN and Standardizes all values in a Dataframe

Installation

Run below command to install whole package

pip install DataframeProcessing

Prerequisite

pandas,numpy,sklearn must be installed

To install run below commands

pip install pandas
pip install numpy
pip install sklearn

Import

from DataframeProcessing import Alter

Instance

variable=Alter()

fill_na

varriable.fill_na(dataframe, central_tendency='mean')
fill_na method replaces all the NaN values in a Dataframe

    Parameters:

    ->dataframe: pd.Dataframe
    ->central_tendency(optional): mean/median/mode

standard_scaling

varriable.standard_scaling(dataframe)

    standard_scaling method standardize all the values by removing the mean and scaling to unit variance

    Parameters:

    ->dataframe: pandas.Dataframe/numpy.ndarray
    """