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Competition - motorcycle parts
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  • Importing modules

    
    import pandas as pd
    import matplotlib.pyplot as plt
    import seaborn as sns
    import numpy as np
    plt.style.use('ggplot')
    #plt.style.use('seaborn-white')
    

    Reading in the sales data

     
    # Reading in the sales data
    sales = pd.read_csv('data/sales_data.csv', parse_dates=['date'])
    
    
    # Take a look at the first datapoints
    sales.head()
    sales.info()
    sales.describe()
    sales.head()

    Checking for null values

    sales.isnull().sum()

    Extracting Day and Month name from date

    sales["Week_day"]=sales["date"].dt.day_name()
    sales["Month"]=sales["date"].dt.month_name()
    sales.info()

    Defining function for plotting Bar Plot

    def plot_barPlot(data,x,y,title,xlabel,ylabel):
        '''Plots bar plot'''
        plt.figure(figsize=(12,8))
        splot=sns.barplot(data=data,x=x,y=y,ci=0)
    
        for p in splot.patches:
            splot.annotate(round(p.get_height(),2),#text that you want to write on top
                           (p.get_x() + p.get_width() / 2., p.get_height()),# coordinates where text should be there
                           ha = 'center', va = 'center',# alignment of the text
                           xytext = (0, 10),# distance of text from top of the patch
                           textcoords = 'offset points') #do not change and remove it
        plt.title(title)
        plt.xlabel(xlabel)
        plt.ylabel(ylabel)
        plt.show()