Exemple #1
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    def do_use(self):
        x = []
        count = 0
        x1 = []
        count1 = 0
        scraper = scraping.Director()
        scraper.builder = scraping.RRP()
        rrp = scraper.create2()
        results = rrp.temp2()
        myList = [i[1:] for i in results]
        intlist = [float(x) for x in myList]
        scraper = scraping.Director()
        scraper.builder = scraping.sale_prices()
        sale = scraper.create2()
        results = sale.temp2()
        mySaleList = [i[1:] for i in results]
        salePriceInt = [float(x) for x in mySaleList]
        while count < len(myList):
            count += 1
            x.append(count)

        while count1 < len(mySaleList):
            count1 += 1
            x1.append(count1)
        plt.figure(num=None,
                   figsize=(10, 10),
                   dpi=80,
                   facecolor='w',
                   edgecolor='k')
        y = [i for i in intlist]
        y1 = [i for i in salePriceInt]
        plt.xlim(0, 22)
        plt.plot(x, y, label='RRP')
        plt.plot(x1, y1, label='Sale Price', color='r')
        plt.scatter(x, y)
        plt.scatter(x1, y1, color='r')
        plt.title('Price Comparison Chart')
        plt.ylabel('Price ($)')
        plt.xlabel('Number of products')
        for i, j in zip(y1, x1):
            plt.annotate(str(i),
                         xy=(j, i),
                         textcoords='data',
                         horizontalalignment='left',
                         verticalalignment='bottom')
        for i, j in zip(y, x):
            plt.annotate(str(i),
                         xy=(j, i),
                         textcoords='data',
                         horizontalalignment='left',
                         verticalalignment='bottom')
        plt.legend()
        plt.show()
Exemple #2
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 def do_use(self):
     count = 0
     x = []
     scraper = scraping.Director()
     scraper.builder = scraping.saving_total()
     savings = scraper.create2()
     results = savings.temp2()
     myList = [i.partition('(')[-1].rpartition('%')[0] for i in results]
     str_list = filter(len, myList)
     intlist = [int(x) for x in str_list]
     while count < len(intlist):
         count += 1
         x.append(count)
     plt.figure(num=None,
                figsize=(8, 8),
                dpi=80,
                facecolor='w',
                edgecolor='k')
     y = [i for i in intlist]
     plt.xlim(0, 22)
     plt.ylim(0, 100)
     plt.bar(x, y)
     plt.title('Total Savings')
     plt.ylabel('Savings (%)')
     for i, j in zip(y, x):
         plt.annotate(str(i),
                      xy=(j, i),
                      textcoords='data',
                      horizontalalignment='left',
                      verticalalignment='bottom')
     plt.show()
Exemple #3
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    def do_use(self):
        months = [
            'January', 'February', 'March', 'April', 'May', 'June', 'July',
            'August', 'September', 'October', 'November', 'December'
        ]

        global month_list
        scraper = scraping.Director()
        scraper.builder = scraping.publishing_date()
        publish = scraper.create2()
        results = publish.temp2()
        myList = [i.split(',', 1)[-1].strip() for i in results]

        month_list = [[], [], [], [], [], [], [], [], [], [], [], []]

        x = 0
        while x <= 11:
            for strings in myList:
                if strings == months[x]:
                    month_list[x].append(1)
            x += 1

        # Data to plot
        labels = [
            'January', 'February', 'March', 'April', 'May', 'June', 'July',
            'August', 'September', 'October', 'November', 'December'
        ]
        sizes = [
            len(month_list[0]),
            len(month_list[1]),
            len(month_list[2]),
            len(month_list[3]),
            len(month_list[4]),
            len(month_list[5]),
            len(month_list[6]),
            len(month_list[7]),
            len(month_list[8]),
            len(month_list[9]),
            len(month_list[10]),
            len(month_list[11])
        ]
        colors = [
            'gold', 'yellowgreen', 'lightcoral', 'lightskyblue', 'red',
            'black', 'blue', 'yellow', 'green', 'purple', 'orange', 'darkblue'
        ]
        explode = (0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)

        plt.pie(sizes,
                explode=explode,
                labels=labels,
                colors=colors,
                autopct='%1.0f%%',
                pctdistance=1.1,
                labeldistance=1.2)

        plt.axis('equal')
        plt.show()
Exemple #4
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 def do_isbn(self, webscraping):
     """
     List of all scraped product ISBN's, as list
     """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.isbn()
         temp = scraper.create()
         print("ISBN: ", temp.temp())
     except NameError:
         print("Please set a url")
Exemple #5
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 def do_product(self, webscraping):
     """
     List of all scraped product names, as list
      """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.product_name()
         product = scraper.create2()
         print("Product Name: ", product.temp2())
     except NameError:
         print("Please set a url")
Exemple #6
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 def do_image(self, webscraping):
     """
     List of all scraped product's relevant image, as url list
     """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.photo_link()
         photo = scraper.create()
         print('Product Photo: ', photo.temp())
     except NameError:
         print("Please set a url")
Exemple #7
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 def do_publish(self, webscraping):
     """
     List of all scraped product's Publishing Date, as list
     """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.publishing_date()
         publish = scraper.create2()
         results = publish.temp2()
         myList = [i.split(',', 1)[-1].strip() for i in results]
         print('Publishing Date', myList)
     except NameError:
         print("Please set a url")
Exemple #8
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 def do_savings(self, webscraping):
     """
     List of all scraped savings, as list
     """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.saving_total()
         savings = scraper.create2()
         results = savings.temp2()
         myList = [i.partition('(')[-1].rpartition('%')[0] for i in results]
         print('Savings : ', myList)
     except NameError:
         print("Please set a url")
Exemple #9
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 def do_sale(self, webscraping):
     """
     List of all scraped product's Sale Price, as list
     """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.sale_prices()
         sale = scraper.create2()
         results = sale.temp2()
         myList = [i[1:] for i in results]
         print('Sale Price ($): ', myList)
     except NameError:
         print("Please set a url")
Exemple #10
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 def do_rrp(self, webscraping):
     """
     List of all scraped product RRP, as list
     """
     try:
         scraper = scraping.Director()
         scraper.builder = scraping.RRP()
         rrp = scraper.create2()
         results = rrp.temp2()
         myList = [i[1:] for i in results]
         print("Recommended retail price ($)", myList)
     except NameError:
         print("Please set a url")