Shapiro-Wilk Normality Test for Pandas Series

This function performs the Shapiro-Wilk test to check if the data follows a normal distribution. It takes a pandas.Series object as input and returns a tuple containing the statistic and the p-value from the test.

Technology Stack : pandas, scipy

Code Type : Function

Code Difficulty : Intermediate

                
                    
import numpy as np
import pandas as pd
from scipy.stats import shapiro

def test_normality(data):
    """
    Test the normality of the data using Shapiro-Wilk test.

    Parameters:
    data (pandas.Series): The data to be tested for normality.

    Returns:
    tuple: A tuple containing the p-value and the statistic from the test.
    """
    # Perform Shapiro-Wilk test
    stat, p_value = shapiro(data)
    return stat, p_value