class2

class2.py

# Defining the Class guassian

class guassian():
    
    def __init__(self,mean=0,stdev=0):
        self.mean = mean
        self.stdev = stdev
    
    # If dataset is passed as parameter rather than the 'mean' and 'stdev',
    # we first read the data and then find the 'mean' and 'stdev'.
    
    def read_text(self,file):
        data = []
        file1 = open(file,'r')

        for x in file1.readlines():
            data.append(int(x))
        
        self.data = data
    
    # The 'mean' is calculated.
    
    def calculate_mean(self):
        
        self.mean = sum(self.data)/len(self.data)
        
        return self.mean
    
    # The standard deviation is calculated.
    
    def calculate_stdev(self,sample=True):
        
        # note :- 
        # If 'sample' = True, the dataset belongs to a sample
        # If 'sample' = False, the dataset belongs to a population.
        
        if sample:
            n = len(self.data)
        else:
            n = len(self.data) - 1
         
        total = 0
        for x in self.data:
            total = total + ((x-self.mean)**2)
        
        self.stdev = math.sqrt(total/n)
        return self.stdev
    
    # The Histogram is plotted.
    
    def plot_histogram(self):
        plt.hist(self.data)
        plt.title('Histogram')
        plt.xlabel('x-axis')
        plt.ylabel('y-axis')